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Mathematical Statistics: Exercises and Solutions

ISBN-13: 9780387249704 / Angielski / Miękka / 2005 / 360 str.

Jun Shao
Mathematical Statistics: Exercises and Solutions Jun Shao 9780387249704 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Mathematical Statistics: Exercises and Solutions

ISBN-13: 9780387249704 / Angielski / Miękka / 2005 / 360 str.

Jun Shao
cena 605,23
(netto: 576,41 VAT:  5%)

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The exercises are grouped into seven chapters with titles matching those in the author's Mathematical Statistics. Can also be used as a stand-alone because exercises and solutions are comprehensible independently of their source, and notation and terminology are explained in the front of the book. Suitable for self-study for a statistics Ph.D. qualifying exam.

Kategorie:
Nauka, Matematyka
Kategorie BISAC:
Mathematics > Prawdopodobieństwo i statystyka
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9780387249704
Rok wydania:
2005
Wydanie:
2005
Ilość stron:
360
Waga:
0.55 kg
Wymiary:
23.52 x 15.8 x 1.93
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

From the reviews:

"This book contains 400 exercises with their detailed solutions. ... It has an extensive list of notations and terminologies and can be used as a stand-alone book. This book will be very useful to Statistics students studying towards an M.Sc or a Ph.D. degree, by helping them to develop problem solving skills ... . It will be useful to their teachers as a source of solved exercises. The list of 26 distributions given at the beginning will also be useful for ready reference." (Mausumi Bose, Sankhya, Vol. 67 (4), 2005)

"The exercise book accompanies an excellent text book for a graduate course in mathematical statistics ... and is an excellent support for the book. The exercise book is excellent by itself also: a challenging collection of problems in mathematical statistics. ... Using both however, the textbook and the exercise book, the mathematical statistician will enjoy the wealth of interesting problems." (Götz Uebe, Allgemeines Statistisches Archiv, Issue 2, 2005)

"This book consists of solutions to 400 exercises in the general theory of mathematical statistics ... . The solutions of the exercises are thorough and explain the different steps in great detail. These solutions will certainly help students to a better understanding of the many complicated issues in the theory. This book is thus a valuable contribution to the teaching materials currently available." (Jon Stene, Mathematical Reviews, Issue 2006 b)

"This collection consists of 400 exercises and their solutions. Most of the exercises (over 95%) are introduced in the cited textbook. ... The collection is a stand-alone book. It is written very rigorously and solutions are presented in detail. It can be recommended as a source of solved problems for teachers and students of advanced mathematical statistics." (EMS Newsletter, June, 2006)

Probability Theory.- Fundamentals of Statistics.- Unbiased Estimation.- Estimation in Parametric Models.- Estimation in Nonparametric Models.- Hypothesis Tests.- Confidence Sets.

Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.

This book consists of four hundred exercises in mathematical statistics and their solutions, over 95% of which are in the author's Mathematical Statistics, Second Edition (Springer, 2003). For students preparing for work on a Ph.D. degree in statistics and instructors of mathematical statistics courses, this useful book provides solutions to train students for their research ability in mathematical statistics and presents many additional results and examples that complement any text in mathematical statistics. To develop problem-solving skills, two solutions and/or notes of brief discussions accompany a few exercises.

The exercises are grouped into seven chapters with titles matching those in the author's Mathematical Statistics. On the other hand, the book is stand-alone because exercises and solutions are comprehensible independently of their source, and notation and terminology are explained in the front of the book.

Readers are assumed to have a good knowledge in advanced calculus. A course in real analysis or measure theory is highly recommended. If this book is used with a statistics textbook that does not include probability theory, then knowledge in measure-theoretic probability theory is required.

Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.

Shao, Jun Textbook author.... więcej >


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