Introduction To Robust Estimation And Hypothesis Testing

✏Book Title : Introduction to Robust Estimation and Hypothesis Testing
✏Author : Rand R. Wilcox
✏Publisher : Academic Press
✏Release Date : 2012
✏Pages : 690
✏ISBN : 9780123869838
✏Available Language : English, Spanish, And French

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✏Introduction to Robust Estimation and Hypothesis Testing Book Summary : "This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--

✏Book Title : Robust Estimation and Hypothesis Testing
✏Author : Moti Lal Tiku
✏Publisher : New Age International
✏Release Date : 2004-01-01
✏Pages : 356
✏ISBN : 9788122415568
✏Available Language : English, Spanish, And French

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✏Robust Estimation and Hypothesis Testing Book Summary : In Statistical Theory And Practice, A Certain Distribution Is Usually Assumed And Then Optimal Solutions Sought. Since Deviations From An Assumed Distribution Are Very Common, One Cannot Feel Comfortable With Assuming A Particular Distribution And Believing It To Be Exactly Correct. That Brings The Robustness Issue In Focus. In This Book, We Have Given Statistical Procedures Which Are Robust To Plausible Deviations From An Assumed Mode. The Method Of Modified Maximum Likelihood Estimation Is Used In Formulating These Procedures. The Modified Maximum Likelihood Estimators Are Explicit Functions Of Sample Observations And Are Easy To Compute. They Are Asymptotically Fully Efficient And Are As Efficient As The Maximum Likelihood Estimators For Small Sample Sizes. The Maximum Likelihood Estimators Have Computational Problems And Are, Therefore, Elusive. A Broad Range Of Topics Are Covered In This Book. Solutions Are Given Which Are Easy To Implement And Are Efficient. The Solutions Are Also Robust To Data Anomalies: Outliers, Inliers, Mixtures And Data Contaminations. Numerous Real Life Applications Of The Methodology Are Given.

✏Book Title : An Introduction to Statistical Concepts
✏Author : Richard G Lomax
✏Publisher : Routledge
✏Release Date : 2013-06-19
✏Pages : 840
✏ISBN : 9781136490125
✏Available Language : English, Spanish, And French

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✏An Introduction to Statistical Concepts Book Summary : This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results. Extended sections on how to write-up statistical results in APA format. New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website that features PowerPoint slides, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more. Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. 'Stop and Think' boxes provide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are given in the book. The first five chapters review descriptive statistics including ways of representing data graphically, statistical measures, the normal distribution, and probability and sampling. The remainder of the text covers inferential statistics involving means, proportions, variances, and correlations, basic and advanced analysis of variance and regression models. Topics not dealt with in other texts such as robust methods, multiple comparison and nonparametric procedures, and advanced ANOVA and multiple and logistic regression models are also reviewed. Intended for one- or two-semester courses in statistics taught in education and/or the behavioral sciences at the graduate and/or advanced undergraduate level, knowledge of statistics is not a prerequisite. A rudimentary knowledge of algebra is required.

✏Book Title : Vital statistics E Book
✏Author : Stephen McKenzie
✏Publisher : Elsevier Health Sciences
✏Release Date : 2014-03-18
✏Pages : 244
✏ISBN : 9780729581493
✏Available Language : English, Spanish, And French

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✏Vital statistics E Book Book Summary : Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.

✏Book Title : Performing Data Analysis Using IBM SPSS
✏Author : Lawrence S. Meyers
✏Publisher : John Wiley & Sons
✏Release Date : 2013-07-17
✏Pages : 736
✏ISBN : 9781118363577
✏Available Language : English, Spanish, And French

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✏Performing Data Analysis Using IBM SPSS Book Summary : Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.

✏Book Title : Analysis of Biomarker Data
✏Author : Stephen W. Looney
✏Publisher : John Wiley & Sons
✏Release Date : 2015-01-28
✏Pages : 424
✏ISBN : 9781118552452
✏Available Language : English, Spanish, And French

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✏Analysis of Biomarker Data Book Summary : A “how to” guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. The authors provide descriptions of select elementary statistical methods that are traditionally used to analyze biomarker data with a focus on the proper application of each method, including necessary assumptions, software recommendations, and proper interpretation of computer output. In addition, the book discusses frequently encountered challenges in analyzing biomarker data and how to deal with them, methods for the quality assessment of biomarkers, and biomarker study designs. Covering a broad range of statistical methods that have been used to analyze biomarker data in published research studies, Analysis of Biomarker Data: A Practical Guide also features: A greater emphasis on the application of methods as opposed to the underlying statistical and mathematical theory The use of SAS®, R, and other software throughout to illustrate the presented calculations for each example Numerous exercises based on real-world data as well as solutions to the problems to aid in reader comprehension The principles of good research study design and the methods for assessing the quality of a newly proposed biomarker A companion website that includes a software appendix with multiple types of software and complete data sets from the book’s examples Analysis of Biomarker Data: A Practical Guide is an ideal upper-undergraduate and graduate-level textbook for courses in the biological or environmental sciences. An excellent reference for statisticians who routinely analyze and interpret biomarker data, the book is also useful for researchers who wish to perform their own analyses of biomarker data, such as toxicologists, pharmacologists, epidemiologists, environmental and clinical laboratory scientists, and other professionals in the health and environmental sciences.

✏Book Title : The Analysis of Covariance and Alternatives
✏Author : Bradley Huitema
✏Publisher : John Wiley & Sons
✏Release Date : 2011-10-24
✏Pages : 480
✏ISBN : 1118067460
✏Available Language : English, Spanish, And French

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✏The Analysis of Covariance and Alternatives Book Summary : A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results. Subsequent chapters feature newly added methods for the analysis of experiments with ordered treatments, including two parametric and nonparametric monotone analyses as well as approaches based on the robust general linear model and reversed ordinal logistic regression. Four groundbreaking chapters on single-case designs introduce powerful new analyses for simple and complex single-case experiments. This Second Edition also features coverage of advanced methods including: Simple and multiple analysis of covariance using both the Fisher approach and the general linear model approach Methods to manage assumption departures, including heterogeneous slopes, nonlinear functions, dichotomous dependent variables, and covariates affected by treatments Power analysis and the application of covariance analysis to randomized-block designs, two-factor designs, pre- and post-test designs, and multiple dependent variable designs Measurement error correction and propensity score methods developed for quasi-experiments, observational studies, and uncontrolled clinical trials Thoroughly updated to reflect the growing nature of the field, Analysis of Covariance and Alternatives is a suitable book for behavioral and medical scineces courses on design of experiments and regression and the upper-undergraduate and graduate levels. It also serves as an authoritative reference work for researchers and academics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.

✏Book Title : Parameter Estimation and Hypothesis Testing in Linear Models
✏Author : Karl-Rudolf Koch
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-03-09
✏Pages : 334
✏ISBN : 9783662039762
✏Available Language : English, Spanish, And French

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✏Parameter Estimation and Hypothesis Testing in Linear Models Book Summary : A treatment of estimating unknown parameters, testing hypotheses and estimating confidence intervals in linear models. Readers will find here presentations of the Gauss-Markoff model, the analysis of variance, the multivariate model, the model with unknown variance and covariance components and the regression model as well as the mixed model for estimating random parameters. A chapter on the robust estimation of parameters and several examples have been added to this second edition. The necessary theorems of vector and matrix algebra and the probability distributions of test statistics are derived so as to make this book self-contained. Geodesy students as well as those in the natural sciences and engineering will find the emphasis on the geodetic application of statistical models extremely useful.

✏Book Title : International Encyclopedia of the Social Behavioral Sciences
✏Author : Neil J. Smelser
✏Publisher :
✏Release Date : 2001
✏Pages : 18181
✏ISBN : UOM:49015002861251
✏Available Language : English, Spanish, And French

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✏International Encyclopedia of the Social Behavioral Sciences Book Summary : The largest work ever published in the social and behavioural sciences. It contains 4000 signed articles, 15 million words of text, 90,000 bibliographic references and 150 biographical entries.

✏Book Title : Robust Statistical Procedures
✏Author : Jana Jureckova
✏Publisher : John Wiley & Sons
✏Release Date : 1996-04-19
✏Pages : 466
✏ISBN : 0471822213
✏Available Language : English, Spanish, And French

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✏Robust Statistical Procedures Book Summary : A broad and unified methodology for robust statistics—with exciting new applications Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the more diverse and sometimes confounding areas, given the many different assessments and interpretations of robustness by theoretical and applied statisticians. This innovative book unifies the many varied, yet related, concepts of robust statistics under a sound theoretical modulation. It seamlessly integrates asymptotics and interrelations, and provides statisticians with an effective system for dealing with the interrelations between the various classes of procedures. Drawing on the expertise of researchers from around the world, and covering over a decade's worth of developments in the field, Robust Statistical Procedures: Asymptotics and Interrelations: Discusses both theory and applications in its two parts, from the fundamentals to robust statistical inference Thoroughly explores the interrelations between diverse classes of procedures, unlike any other book Compares nonparametric procedures with robust statistics, explaining in detail asymptotic representations for various estimators Provides a timesaving list of mathematical tools for the problems under discussion Keeps mathematical abstractions to a minimum, in spite of its largely theoretical content Includes useful problems and exercises at the end of each chapter Offers strategies for more complex models when using robust statistical procedures Self-contained and rounded in approach, this book is invaluable for both applied statisticians and theoretical researchers; for graduate students in mathematical statistics; and for anyone interested in the influence of this methodology.

✏Book Title : Robust Estimation and Testing
✏Author : Robert G. Staudte
✏Publisher : John Wiley & Sons
✏Release Date : 2011-09-15
✏Pages : 376
✏ISBN : 9781118165492
✏Available Language : English, Spanish, And French

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✏Robust Estimation and Testing Book Summary : An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems.

✏Book Title : APS Observer
✏Author :
✏Publisher :
✏Release Date : 2006
✏Pages :
✏ISBN : MINN:31951P01005066G
✏Available Language : English, Spanish, And French

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✏APS Observer Book Summary :

✏Book Title : Survey Review
✏Author :
✏Publisher :
✏Release Date : 2005
✏Pages :
✏ISBN : UCLA:L0098429178
✏Available Language : English, Spanish, And French

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✏Survey Review Book Summary :

✏Book Title : Technometrics
✏Author :
✏Publisher :
✏Release Date : 2005
✏Pages :
✏ISBN : UOM:39015065057591
✏Available Language : English, Spanish, And French

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✏Technometrics Book Summary :

✏Book Title : Methodology in Robust and Nonparametric Statistics
✏Author : Jana Jureckova
✏Publisher : CRC Press
✏Release Date : 2012-07-20
✏Pages : 410
✏ISBN : 9781439840696
✏Available Language : English, Spanish, And French

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✏Methodology in Robust and Nonparametric Statistics Book Summary : Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algo

✏Book Title : Handbook of Parametric and Nonparametric Statistical Procedures
✏Author : David Sheskin
✏Publisher : Chapman and Hall/CRC
✏Release Date : 2007-01-19
✏Pages : 1736
✏ISBN : UCSC:32106018839206
✏Available Language : English, Spanish, And French

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✏Handbook of Parametric and Nonparametric Statistical Procedures Book Summary : With more than 500 pages of new material, the Handbook of Parametric and Nonparametric Statistical Procedures, Fourth Edition carries on the esteemed tradition of the previous editions, providing up-to-date, in-depth coverage of now more than 160 statistical procedures. The book also discusses both theoretical and practical statistical topics, such as experimental design, experimental control, and statistical analysis. Eliminating the need to search across numerous books, this handbook provides you with everything you need to know about parametric and nonparametric statistical procedures. It helps you choose the best test for your data, interpret the results, and better evaluate the research of others.

✏Book Title : Tijdschrift voor economie en management
✏Author :
✏Publisher :
✏Release Date : 2005
✏Pages :
✏ISBN : CORNELL:31924083428999
✏Available Language : English, Spanish, And French

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✏Tijdschrift voor economie en management Book Summary :

✏Book Title : Mathematical Reviews
✏Author :
✏Publisher :
✏Release Date : 2007
✏Pages :
✏ISBN : UOM:39015078588582
✏Available Language : English, Spanish, And French

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✏Mathematical Reviews Book Summary :

✏Book Title : Introduction to Linear Regression Analysis
✏Author : Douglas C. Montgomery
✏Publisher : Wiley-Interscience
✏Release Date : 2001-04-16
✏Pages : 641
✏ISBN : STANFORD:36105110345209
✏Available Language : English, Spanish, And French

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✏Introduction to Linear Regression Analysis Book Summary : A comprehensive and thoroughly up-to-date look at regression analysis-still the most widely used technique in statistics today As basic to statistics as the Pythagorean theorem is to geometry, regression analysis is a statistical technique for investigating and modeling the relationship between variables. With far-reaching applications in almost every field, regression analysis is used in engineering, the physical and chemical sciences, economics, management, life and biological sciences, and the social sciences. Clearly balancing theory with applications, Introduction to Linear Regression Analysis describes conventional uses of the technique, as well as less common ones, placing linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. Succeeding chapters include detailed coverage of: ? Indicator variables, making the connection between regression and analysis-of-variance modelss ? Variable selection and model-building techniques ? The multicollinearity problem, including its sources, harmful effects, diagnostics, and remedial measures ? Robust regression techniques, including M-estimators, Least Median of Squares, and S-estimation ? Generalized linear models The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation. Topics not usually found in a linear regression textbook, such as nonlinear regression and generalized linear models, yet critical to engineering students and professionals, have also been included. The new critical role of the computer in regression analysis is reflected in the book's expanded discussion of regression diagnostics, where major analytical procedures now available in contemporary software packages, such as SAS, Minitab, and S-Plus, are detailed. The Appendix now includes ample background material on the theory of linear models underlying regression analysis. Data sets from the book, extensive problem solutions, and software hints are available on the ftp site. For other Wiley books by Doug Montgomery, visit our website at www.wiley.com/college/montgomery.

✏Book Title : Psychology Science
✏Author :
✏Publisher :
✏Release Date : 2007
✏Pages :
✏ISBN : UOM:39015079667070
✏Available Language : English, Spanish, And French

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✏Psychology Science Book Summary :

✏Book Title : Real Data Analysis
✏Author : Shlomo S. Sawilowsky
✏Publisher : Information Age Pub Incorporated
✏Release Date : 2007
✏Pages : 418
✏ISBN : STANFORD:36105123291879
✏Available Language : English, Spanish, And French

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✏Real Data Analysis Book Summary : The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide( d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.

✏Book Title : Mathematical Statistics with Applications in Biometry
✏Author : Joachim Kunert
✏Publisher :
✏Release Date : 2001
✏Pages : 413
✏ISBN : UOM:39015056465407
✏Available Language : English, Spanish, And French

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✏Mathematical Statistics with Applications in Biometry Book Summary :

✏Book Title : American Book Publishing Record
✏Author :
✏Publisher :
✏Release Date : 2005
✏Pages :
✏ISBN : UOM:39015066043228
✏Available Language : English, Spanish, And French

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✏American Book Publishing Record Book Summary :

✏Book Title : University of Michigan Official Publication
✏Author : University of Michigan
✏Publisher : UM Libraries
✏Release Date : 1976
✏Pages :
✏ISBN : UOM:39015078739912
✏Available Language : English, Spanish, And French

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✏University of Michigan Official Publication Book Summary : Each number is the catalogue of a specific school or college of the University.

✏Book Title : An Introduction to Signal Detection and Estimation
✏Author : H. Vincent Poor
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-06-29
✏Pages : 549
✏ISBN : 9781475738636
✏Available Language : English, Spanish, And French

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✏An Introduction to Signal Detection and Estimation Book Summary : The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.

✏Book Title : Behavior Research Methods
✏Author :
✏Publisher :
✏Release Date : 2007
✏Pages :
✏ISBN : STANFORD:36105123444544
✏Available Language : English, Spanish, And French

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✏Behavior Research Methods Book Summary :

✏Book Title : Environmental Reviews
✏Author :
✏Publisher :
✏Release Date : 1999
✏Pages :
✏ISBN : OSU:32435071524771
✏Available Language : English, Spanish, And French

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✏Environmental Reviews Book Summary :

✏Book Title : Image and Video Retrieval
✏Author : Michael S. Lew
✏Publisher : Springer Science & Business Media
✏Release Date : 2002-07-03
✏Pages : 392
✏ISBN : 9783540438991
✏Available Language : English, Spanish, And French

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✏Image and Video Retrieval Book Summary : Finally,wearegrateful tooursponsors,theBritishComputerSocietyInformationRetrievalSpecialist Group,theBritishMachineVisionAssociation(BMVA),theInstituteforImage DataResearch,UniversityofNorthumbria,theInstitutionofElectricalEn- neers(IEE),andtheLeidenInstituteofAdvancedComputerScience(LIACS), LeidenUniversiy. May2002 MichaelS. Lew NicuSebe JohnP. Eakins International Conference an Image andVideo Retrieval 2002 Organization Organizing Committee OrganizingCommitteeChair: JohnP. Eakins (UniversityofNorthumbria,UK) TechnicalProgramChair: MichaelS.

✏Book Title : Research in the Schools
✏Author :
✏Publisher :
✏Release Date : 1998
✏Pages :
✏ISBN : UVA:X006083339
✏Available Language : English, Spanish, And French

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✏Research in the Schools Book Summary :

✏Book Title : Catalogs of Courses
✏Author : University of California, Berkeley
✏Publisher :
✏Release Date : 1995
✏Pages :
✏ISBN : UCLA:L0073387995
✏Available Language : English, Spanish, And French

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✏Catalogs of Courses Book Summary : Includes general and summer catalogs issued between 1878/1879 and 1995/1997.