A Course In Mathematical Statistics

Author : Rabi Bhattacharya,Lizhen Lin,Victor Patrangenaru
Publisher : Springer
Page : 389 pages
File Size : 41,9 Mb
Release : 2016-08-13
Category : Mathematics
ISBN : 9781493940325

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A Course in Mathematical Statistics and Large Sample Theory by Rabi Bhattacharya,Lizhen Lin,Victor Patrangenaru Pdf

This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics. Part I of this book constitutes a one-semester course on basic parametric mathematical statistics. Part II deals with the large sample theory of statistics - parametric and nonparametric, and its contents may be covered in one semester as well. Part III provides brief accounts of a number of topics of current interest for practitioners and other disciplines whose work involves statistical methods.

Author : George G. Roussas
Publisher : Elsevier
Page : 594 pages
File Size : 48,5 Mb
Release : 1997-03-12
Category : Mathematics
ISBN : 9780080493145

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A Course in Mathematical Statistics by George G. Roussas Pdf

A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-quarter) course in probability alone. It bridges the gap between high and intermediate level texts so students without a sophisticated mathematical background can assimilate a fairly broad spectrum of the theorems and results from mathematical statistics. The coverage is extensive, and consists of probability and distribution theory, and statistical inference. * Contains 25% new material * Includes the most complete coverage of sufficiency * Transformation of Random Vectors * Sufficiency / Completeness / Exponential Families * Order Statistics * Elements of Nonparametric Density Estimation * Analysis of Variance (ANOVA) * Regression Analysis * Linear Models

Author : George G. Roussas
Publisher : Unknown
Page : 572 pages
File Size : 55,6 Mb
Release : 1997
Category : Electronic
ISBN : 9814134503

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A Course in Mathematical Statistics by George G. Roussas Pdf

Author : C. E. Weatherburn
Publisher : CUP Archive
Page : 302 pages
File Size : 51,7 Mb
Release : 1949-01-02
Category : Mathematics
ISBN : 0521091586

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A First Course Mathematical Statistics by C. E. Weatherburn Pdf

This book provides the mathematical foundations of statistics. Its aim is to explain the principles, to prove the formulae to give validity to the methods employed in the interpretation of statistical data. Many examples are included but, since the primary emphasis is on the underlying theory, it is of interest to students of a wide variety of subjects: biology, psychology, agriculture, economics, physics, chemistry, and (of course) mathematics.

Author : George G. Roussas
Publisher : Academic Press
Page : 602 pages
File Size : 45,7 Mb
Release : 1997-02-28
Category : Business & Economics
ISBN : 0125993153

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A Course in Mathematical Statistics by George G. Roussas Pdf

A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-quarter) course in probability alone. It bridges the gap between high and intermediate level texts so students without a sophisticated mathematical background can assimilate a fairly broad spectrum of the theorems and results from mathematical statistics. The coverage is extensive, and consists of probability and distribution theory, and statistical inference. * Contains 25% new material * Includes the most complete coverage of sufficiency * Transformation of Random Vectors * Sufficiency / Completeness / Exponential Families * Order Statistics * Elements of Nonparametric Density Estimation * Analysis of Variance (ANOVA) * Regression Analysis * Linear Models

Author : George G. Roussas
Publisher : Academic Press
Page : 0 pages
File Size : 44,5 Mb
Release : 2014-11-12
Category : Mathematics
ISBN : 0080916600

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A Course in Mathematical Statistics by George G. Roussas Pdf

A Course in Mathematical Statistics

Author : Victor M. Panaretos
Publisher : Birkhäuser
Page : 177 pages
File Size : 40,8 Mb
Release : 2016-06-01
Category : Mathematics
ISBN : 9783319283418

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Statistics for Mathematicians by Victor M. Panaretos Pdf

This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an elementary semester-long first course on Statistics with a firm sense of direction that does not sacrifice rigor. The deeper goal of the text is to attract the attention of promising Mathematics students.

Author : Shelemyahu Zacks
Publisher : John Wiley & Sons
Page : 652 pages
File Size : 52,6 Mb
Release : 2013-12-17
Category : Mathematics
ISBN : 9781118605837

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Examples and Problems in Mathematical Statistics by Shelemyahu Zacks Pdf

Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents numerous problem-solving examples that illustrate the relatednotations and proven results. Written by an established authority in probability and mathematical statistics, each chapter begins with a theoretical presentation to introduce both the topic and the important results in an effort to aid in overall comprehension. Examples are then provided, followed by problems, and finally, solutions to some of the earlier problems. In addition, Examples and Problems in Mathematical Statistics features: Over 160 practical and interesting real-world examples from a variety of fields including engineering, mathematics, and statistics to help readers become proficient in theoretical problem solving More than 430 unique exercises with select solutions Key statistical inference topics, such as probability theory, statistical distributions, sufficient statistics, information in samples, testing statistical hypotheses, statistical estimation, confidence and tolerance intervals, large sample theory, and Bayesian analysis Recommended for graduate-level courses in probability and statistical inference, Examples and Problems in Mathematical Statistics is also an ideal reference for applied statisticians and researchers.

Author : Elliot A. Tanis,Robert V. Hogg
Publisher : Pearson
Page : 0 pages
File Size : 49,8 Mb
Release : 2008
Category : Mathematical statistics
ISBN : 0131751395

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A Brief Course in Mathematical Statistics by Elliot A. Tanis,Robert V. Hogg Pdf

For a one-semester course in Mathematical Statistics. This innovative new introduction to Mathematical Statistics covers the important concept of estimation at a point much earlier than other texts (Chapter 2). Thought-provoking pedagogical aids help students test their understanding and relate concepts to everyday life. Ideal for courses that offer a little less probability than usual, this book requires one year of calculus as a prerequisite.

Author : Keith Knight
Publisher : Chapman and Hall/CRC
Page : 128 pages
File Size : 49,9 Mb
Release : 1997-11-01
Category : Mathematics
ISBN : 041272880X

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A Course in Mathematical Statistics by Keith Knight Pdf

Covering mathematical statistics by providing a more contemporary perspective to the subject, this book introduces some topics not covered in existing texts as well as de-emphasizes the optimality theory. The book also highlights the connection between theory and applications - presenting a text full of exercises.

Author : Dieter Rasch,Dieter Schott
Publisher : John Wiley & Sons
Page : 886 pages
File Size : 46,8 Mb
Release : 2018-01-09
Category : Mathematics
ISBN : 9781119385233

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Mathematical Statistics by Dieter Rasch,Dieter Schott Pdf

Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics 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. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises included Practice-oriented (taken from day-to-day statistical work of the authors) Includes further studies including design of experiments and sample sizing Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics.

Author : Jun Shao
Publisher : Springer Science & Business Media
Page : 592 pages
File Size : 45,9 Mb
Release : 2008-02-03
Category : Mathematics
ISBN : 9780387217185

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Mathematical Statistics by Jun Shao Pdf

This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. This new edition has been revised and updated and in this fourth printing, errors have been ironed out. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Subsequent chapters contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results.

Author : Robert V. Hogg,Allen Thornton Craig
Publisher : Unknown
Page : 88 pages
File Size : 40,9 Mb
Release : 1995
Category : Mathematical statistics
ISBN : 0132089351

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Introduction to Mathematical Statistics, Fifth Edition by Robert V. Hogg,Allen Thornton Craig Pdf

Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 47,6 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9780387217369

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All of Statistics by Larry Wasserman Pdf

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Author : George G. Roussas
Publisher : Unknown
Page : 506 pages
File Size : 51,7 Mb
Release : 1993
Category : Electronic
ISBN : OCLC:440703565

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A first course in mathematical statistics by George G. Roussas Pdf