Theory and Methods of Statistics

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  • Author : P. K. Bhattacharya
  • Publisher : Academic Press
  • Pages : 630 pages
  • ISBN : 9780128024409
  • Rating : /5 from reviews
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Download or Read online Theory and Methods of Statistics full in PDF, ePub and kindle. this book written by P. K. Bhattacharya and published by Academic Press which was released on 01 October 2015 with total page 630 pages. We cannot guarantee that Theory and Methods of Statistics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as Maximum Likelihood and Sufficiency, and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability inequalities that are not only useful in the context of this text, but also as a resource for investigating convergence of statistical procedures. Codifies foundational information in many core areas of statistics into a comprehensive and definitive resource Appropriate for select master's program use as well as for PhD programs and professional reference Integrates numerous examples to illustrate advanced concepts Includes many probability inequalities useful for investigating convergence of statistical procedures.

Theory and Methods of Statistics

Theory and Methods of Statistics
  • Author : P. K. Bhattacharya,Prabir Burman
  • Publisher : Academic Press
  • Release : 01 October 2015
GET THIS BOOK Theory and Methods of Statistics

Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as Maximum Likelihood and Sufficiency, and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability

Statistical Hypothesis Testing

Statistical Hypothesis Testing
  • Author : Ning-Zhong Shi,Jian Tao
  • Publisher : World Scientific
  • Release : 24 July 2021
GET THIS BOOK Statistical Hypothesis Testing

This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space is a measurable space adding a family of probability measures. Most topics in the book will be developed based on this term. The book includes some typical data sets, such as the relation between race and the death penalty verdict, the behavior of food intake of two kinds of Zucker rats, and the per capita income and expenditure in China during

Fundamentals of Modern Statistical Methods

Fundamentals of Modern Statistical Methods
  • Author : Rand R. Wilcox
  • Publisher : Springer Science & Business Media
  • Release : 18 March 2010
GET THIS BOOK Fundamentals of Modern Statistical Methods

Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of

Statistical Models

Statistical Models
  • Author : David Freedman
  • Publisher : Cambridge University Press
  • Release : 27 April 2009
GET THIS BOOK Statistical Models

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a

An Introduction to Bayesian Analysis

An Introduction to Bayesian Analysis
  • Author : Jayanta K. Ghosh,Mohan Delampady,Tapas Samanta
  • Publisher : Springer Science & Business Media
  • Release : 03 July 2007
GET THIS BOOK An Introduction to Bayesian Analysis

This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing. Advances in both low-dimensional and high-dimensional problems are covered, as well as important topics such as empirical Bayes and hierarchical Bayes methods and Markov chain Monte Carlo (MCMC) techniques. Many

Scan Statistics

Scan Statistics
  • Author : Joseph Glaz,Vladimir Pozdnyakov,Sylvan Wallenstein
  • Publisher : Springer Science & Business Media
  • Release : 24 December 2009
GET THIS BOOK Scan Statistics

Scan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability and quality control, telecommunication, and epidemiology. Filling a gap in the literature, this self-contained volume brings together a collection of selected chapters illustrating the depth and diversity of theory, methods and applications in the area of

Statistical Methods for Spatial Data Analysis

Statistical Methods for Spatial Data Analysis
  • Author : Oliver Schabenberger,Carol A. Gotway
  • Publisher : CRC Press
  • Release : 20 December 2004
GET THIS BOOK Statistical Methods for Spatial Data Analysis

Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial

Financial Econometrics Mathematics and Statistics

Financial Econometrics  Mathematics and Statistics
  • Author : Cheng-Few Lee,Hong-Yi Chen,John Lee
  • Publisher : Springer
  • Release : 03 June 2019
GET THIS BOOK Financial Econometrics Mathematics and Statistics

This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log

Sampling Theory and Methods

Sampling Theory and Methods
  • Author : S. Sampath
  • Publisher : CRC Press
  • Release : 24 July 2021
GET THIS BOOK Sampling Theory and Methods

"The book presents in detail several sampling schemes like simple random sampling, unequal probability sampling methods, systematic, stratified, cluster and multistage sampling. In addition to sampling schemes several estimating methods which include ratio and regression estimators are also discussed. The use of superpopulation models is also covered in detail. Some recent developments which include estimation of distribution functions, adaptive sampling schemes etc. are also presented."--BOOK JACKET.

Exponential Distribution

Exponential Distribution
  • Author : K. Balakrishnan
  • Publisher : Routledge
  • Release : 31 October 2018
GET THIS BOOK Exponential Distribution

The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the expon

Research Methods Pedagogy Engaging Psychology Students in Research Methods and Statistics

Research Methods Pedagogy  Engaging Psychology Students in Research Methods and Statistics
  • Author : Lynne Roberts
  • Publisher : Frontiers Media SA
  • Release : 09 November 2016
GET THIS BOOK Research Methods Pedagogy Engaging Psychology Students in Research Methods and Statistics

Research methods and statistics are central to the development of professional competence and evidence based psychological practice. (Noun, masculine) research on the development of psychological literacy. Despite this, many psychology students express little interest in, and in some cases of active dislike of, learning research methods and statistics. This ebook brings together current research, innovative evidence-based practice, and critical discourse.

Statistical Methods in Quantum Optics 1

Statistical Methods in Quantum Optics 1
  • Author : Howard J. Carmichael
  • Publisher : Springer
  • Release : 08 December 2010
GET THIS BOOK Statistical Methods in Quantum Optics 1

This is the first of a two-volume presentation on current research problems in quantum optics, and will serve as a standard reference in the field for many years to come. The book provides an introduction to the methods of quantum statistical mechanics used in quantum optics and their application to the quantum theories of the single-mode laser and optical bistability. The generalized representations of Drummond and Gardiner are discussed together with the more standard methods for deriving Fokker-Planck equations.