Exercises In Theoretical Statistics PDF Download
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Author | : Maurice George Kendall |
Publisher | : |
Total Pages | : 200 |
Release | : 1968 |
Genre | : Estadística matemática |
ISBN | : |
Download Exercises in Theoretical Statistics Book in PDF, ePub and Kindle
Exercises; Distribution theory; Sampling; Statistical relationship; Estimation and inference; Time-series.
Author | : Lawrence L. Kupper |
Publisher | : CRC Press |
Total Pages | : 384 |
Release | : 2013-06-24 |
Genre | : Mathematics |
ISBN | : 1466572906 |
Download Exercises and Solutions in Statistical Theory Book in PDF, ePub and Kindle
Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this text incorporates many exercises that apply to real-world settings and provides much mor
Author | : Robert W. Keener |
Publisher | : Springer Science & Business Media |
Total Pages | : 543 |
Release | : 2010-09-08 |
Genre | : Mathematics |
ISBN | : 0387938397 |
Download Theoretical Statistics Book in PDF, ePub and Kindle
Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.
Author | : Lawrence Kupper |
Publisher | : CRC Press |
Total Pages | : 422 |
Release | : 2010-11-09 |
Genre | : Mathematics |
ISBN | : 1584887222 |
Download Exercises and Solutions in Biostatistical Theory Book in PDF, ePub and Kindle
Drawn from nearly four decades of Lawrence L. Kupper’s teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous exercises, and detailed solutions that span topics from basic probability to statistical inference. The text links theoretical biostatistical principles to real-world situations, including some of the authors’ own biostatistical work that has addressed complicated design and analysis issues in the health sciences. This classroom-tested material is arranged sequentially starting with a chapter on basic probability theory, followed by chapters on univariate distribution theory and multivariate distribution theory. The last two chapters on statistical inference cover estimation theory and hypothesis testing theory. Each chapter begins with an in-depth introduction that summarizes the biostatistical principles needed to help solve the exercises. Exercises range in level of difficulty from fairly basic to more challenging (identified with asterisks). By working through the exercises and detailed solutions in this book, students will develop a deep understanding of the principles of biostatistical theory. The text shows how the biostatistical theory is effectively used to address important biostatistical issues in a variety of real-world settings. Mastering the theoretical biostatistical principles described in the book will prepare students for successful study of higher-level statistical theory and will help them become better biostatisticians.
Author | : Maurice G. Kendall |
Publisher | : |
Total Pages | : 179 |
Release | : 1956 |
Genre | : |
ISBN | : |
Download Exercises in Theoretical Statistics. With Answers and Solutions Book in PDF, ePub and Kindle
Author | : L. Chaumont |
Publisher | : Cambridge University Press |
Total Pages | : 256 |
Release | : 2003-11-03 |
Genre | : Mathematics |
ISBN | : 0521825857 |
Download Exercises in Probability Book in PDF, ePub and Kindle
This book was first published in 2003. Derived from extensive teaching experience in Paris, this book presents around 100 exercises in probability. The exercises cover measure theory and probability, independence and conditioning, Gaussian variables, distributional computations, convergence of random variables, and random processes. For each exercise the authors have provided detailed solutions as well as references for preliminary and further reading. There are also many insightful notes to motivate the student and set the exercises in context. Students will find these exercises extremely useful for easing the transition between simple and complex probabilistic frameworks. Indeed, many of the exercises here will lead the student on to frontier research topics in probability. Along the way, attention is drawn to a number of traps into which students of probability often fall. This book is ideal for independent study or as the companion to a course in advanced probability theory.
Author | : M. G. Kendall |
Publisher | : |
Total Pages | : |
Release | : 1968 |
Genre | : |
ISBN | : |
Download Exercises in Theoretical Statistics ; with Answers and Hinds on Solutions Book in PDF, ePub and Kindle
Author | : Jun Shao |
Publisher | : Springer Science & Business Media |
Total Pages | : 607 |
Release | : 2008-02-03 |
Genre | : Mathematics |
ISBN | : 0387217185 |
Download Mathematical Statistics Book in PDF, ePub and Kindle
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 | : Maurice G. Kendall |
Publisher | : |
Total Pages | : 179 |
Release | : 1965 |
Genre | : |
ISBN | : |
Download Exercises in theoretical statistics Book in PDF, ePub and Kindle
Author | : Wolfgang Karl Härdle |
Publisher | : Springer Science & Business Media |
Total Pages | : 210 |
Release | : 2013-11-08 |
Genre | : Mathematics |
ISBN | : 3642368506 |
Download Basics of Modern Mathematical Statistics Book in PDF, ePub and Kindle
The complexity of today’s statistical data calls for modern mathematical tools. Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect, since mastering the tools makes them applicable. Our book of exercises and solutions offers a wide range of applications and numerical solutions based on R. In modern mathematical statistics, the purpose is to provide statistics students with a number of basic exercises and also an understanding of how the theory can be applied to real-world problems. The application aspect is also quite important, as most previous exercise books are mostly on theoretical derivations. Also we add some problems from topics often encountered in recent research papers. The book was written for statistics students with one or two years of coursework in mathematical statistics and probability, professors who hold courses in mathematical statistics, and researchers in other fields who would like to do some exercises on math statistics.