Multiparametric Statistics

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  • Author : Vadim Ivanovich Serdobolskii
  • Publisher : Elsevier
  • Pages : 334 pages
  • ISBN : 9780080555928
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Multiparametric Statistics

Download or Read online Multiparametric Statistics full in PDF, ePub and kindle. this book written by Vadim Ivanovich Serdobolskii and published by Elsevier which was released on 18 October 2007 with total page 334 pages. We cannot guarantee that Multiparametric 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. This monograph presents mathematical theory of statistical models described by the essentially large number of unknown parameters, comparable with sample size but can also be much larger. In this meaning, the proposed theory can be called "essentially multiparametric". It is developed on the basis of the Kolmogorov asymptotic approach in which sample size increases along with the number of unknown parameters. This theory opens a way for solution of central problems of multivariate statistics, which up until now have not been solved. Traditional statistical methods based on the idea of an infinite sampling often break down in the solution of real problems, and, dependent on data, can be inefficient, unstable and even not applicable. In this situation, practical statisticians are forced to use various heuristic methods in the hope the will find a satisfactory solution. Mathematical theory developed in this book presents a regular technique for implementing new, more efficient versions of statistical procedures. Near exact solutions are constructed for a number of concrete multi-dimensional problems: estimation of expectation vectors, regression and discriminant analysis, and for the solution to large systems of empiric linear algebraic equations. It is remarkable that these solutions prove to be not only non-degenerating and always stable, but also near exact within a wide class of populations. In the conventional situation of small dimension and large sample size these new solutions far surpass the classical, commonly used consistent ones. It can be expected in the near future, for the most part, traditional multivariate statistical software will be replaced by the always reliable and more efficient versions of statistical procedures implemented by the technology described in this book. This monograph will be of interest to a variety of specialists working with the theory of statistical methods and its applications. Mathematicians would find new classes of urgent problems to be solved in their own regions. Specialists in applied statistics creating statistical packages will be interested in more efficient methods proposed in the book. Advantages of these methods are obvious: the user is liberated from the permanent uncertainty of possible instability and inefficiency and gets algorithms with unimprovable accuracy and guaranteed for a wide class of distributions. A large community of specialists applying statistical methods to real data will find a number of always stable highly accurate versions of algorithms that will help them to better solve their scientific or economic problems. Students and postgraduates will be interested in this book as it will help them get at the foremost frontier of modern statistical science. - Presents original mathematical investigations and open a new branch of mathematical statistics - Illustrates a technique for developing always stable and efficient versions of multivariate statistical analysis for large-dimensional problems - Describes the most popular methods some near exact solutions; including algorithms of non-degenerating large-dimensional discriminant and regression analysis

Multiparametric Statistics

Multiparametric Statistics
  • Author : Vadim Ivanovich Serdobolskii
  • Publisher : Elsevier
  • Release : 18 October 2007
GET THIS BOOK Multiparametric Statistics

This monograph presents mathematical theory of statistical models described by the essentially large number of unknown parameters, comparable with sample size but can also be much larger. In this meaning, the proposed theory can be called "essentially multiparametric". It is developed on the basis of the Kolmogorov asymptotic approach in which sample size increases along with the number of unknown parameters. This theory opens a way for solution of central problems of multivariate statistics, which up until now have not

Studyguide for Multiparametric Statistics by Serdobolskii Vadim Ivanovich

Studyguide for Multiparametric Statistics by Serdobolskii  Vadim Ivanovich
  • Author : Cram101 Textbook Reviews
  • Publisher : Cram101
  • Release : 01 May 2013
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Never HIGHLIGHT a Book Again Virtually all testable terms, concepts, persons, places, and events are included. Cram101 Textbook Outlines gives all of the outlines, highlights, notes for your textbook with optional online practice tests. Only Cram101 Outlines are Textbook Specific. Cram101 is NOT the Textbook. Accompanys: 9780521673761

Studyguide for Multiparametric Statistics by Vadim Ivanovich Serdobolskii Isbn 9780444530493

Studyguide for Multiparametric Statistics by Vadim Ivanovich Serdobolskii  Isbn 9780444530493
  • Author : Cram101 Textbook Reviews
  • Publisher : Cram101
  • Release : 01 October 2011
GET THIS BOOK Studyguide for Multiparametric Statistics by Vadim Ivanovich Serdobolskii Isbn 9780444530493

Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780444530493 .

Living Without Mathematical Statistics

Living Without Mathematical Statistics
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  • Publisher : Springer
  • Release : 28 September 2018
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The underlying principles invented and developed by Dr. Genichi Taguchi (1924 - 2012), for the design of experiments or simulation calculations in multi-parameter systems, are today known as Taguchi Method. Due to the great success, it was extended to many other areas. The book explains the basics of this method in as much detail as necessary and as simply and graphically as possible. The author shows how broad the current application spectrum is and for which different tasks it can be used.

Multiparametric Organ Modeling for Shape Statistics and Simulation Procedures

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  • Author : Juan Carlos Prieto Bernal
  • Publisher : Unknown
  • Release : 30 July 2021
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Geometric modeling has been one of the most researched areas in the medical domain. Today, there is not a well established methodology to model the shape of an organ. There are many approaches available and each one of them have different strengths and weaknesses. Most state of the art methods to model shape use surface information only. There is an increasing need for techniques to support volumetric information. Besides shape characterization, a technique to differentiate objects by shape is needed.

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  • Publisher : Academic Press
  • Release : 12 April 2019
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The oceans cover 70% of the Earth’s surface, and are critical components of Earth’s climate system. This new edition of Encyclopedia of Ocean Sciences summarizes the breadth of knowledge about them, providing revised, up to date entries as well coverage of new topics in the field. New and expanded sections include microbial ecology, high latitude systems and the cryosphere, climate and climate change, hydrothermal and cold seep systems. The structure of the work provides a modern presentation of the

Mathematical Theory of Statistics

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  • Author : Helmut Strasser
  • Publisher : Walter de Gruyter
  • Release : 30 July 1985
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The series is devoted to the publication of monographs and high-level textbooks in mathematics, mathematical methods and their applications. Apart from covering important areas of current interest, a major aim is to make topics of an interdisciplinary nature accessible to the non-specialist. The works in this series are addressed to advanced students and researchers in mathematics and theoretical physics. In addition, it can serve as a guide for lectures and seminars on a graduate level. The series de Gruyter Studies

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  • Publisher : Newnes
  • Release : 11 June 2013
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Protected designation of origin (PDO) taken together with other geographical indicators, such as protected geographical indication (PGI) and traditional specialty guaranteed (TSG), offer the consumer additional guarantees on the quality and authentication of foods. They are important tools that protect the names of regional foods, such as wines, cheeses, hams, sausages and olives, so that only foods that genuinely originate in a particular region are allowed to be identified as such. The economic value of these regional foods, as well

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  • Author : Martin A. Tanner,Martin T. Wells
  • Publisher : CRC Press
  • Release : 09 July 2001
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Exactly what is the state of the art in statistics as we move forward into the 21st century? What promises, what trends does its future hold? Through the reflections of 70 of the world's leading statistical methodologists, researchers, theorists, and practitioners, Statistics in the 21st Century answers those questions. Originally published in the Journal of the American Statistical Association, this collection of vignettes examines our statistical past, comments on our present, and speculates on our future. Although the coverage is broad

Topics in Advanced Statistics

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  • Author : Giuseppe Schinaia
  • Publisher : Universitas Studiorum
  • Release : 01 October 2014
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The book contains a simple presentation of the basic principles of what is usually called mathematical statistics. However, only relevant results are followed by their proofs and, even then, the underlying mathematics only requires a basic knowledge of calculus, as measure-theoretical issues have been carefully avoided. The reader is to be acquainted with some probability theory, whose basic principles are summarized in appendix A, while appendices B and C present an overview of probability distributions and asymptotic theory. As a “

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  • Publisher : Academic Press
  • Release : 26 August 2009
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Elements of Physical Oceanography is a derivative of the Encyclopedia of Ocean Sciences, 2nd Edition and serves as an important reference on current physical oceanography knowledge and expertise in one convenient and accessible source. Its selection of articles—all written by experts in their field—focuses on ocean physics, air-sea transfers, waves, mixing, ice, and the processes of transfer of properties such as heat, salinity, momentum and dissolved gases, within and into the ocean. Elements of Physical Oceanography serves as

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  • Release : 19 March 2018
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This book requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables) which is typically taught in the earlier semesters of scientific and mathematical study courses. After the basic ideas of mathematical statistics, Mathematical Statistics gives an introduction to point estimation, confidence intervals and statistical tests. Based on the general theory of linear models, the book provides an in-depth overview of the following: Analysis of variance for models with fixed, random and mixed effects Regression analysis