Course in Mathematical Statistics and Large Sample Theory,
Автор: Shao Название: Mathematical Statistics: Exercises and Solutions ISBN: 0387249702 ISBN-13(EAN): 9780387249704 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Sastry N S Narasimha Et Al Название: Perspectives In Mathematical Science I: Probability And Statistics ISBN: 9814273627 ISBN-13(EAN): 9789814273626 Издательство: World Scientific Publishing Рейтинг: Цена: 13464.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of invited articles by distinguished probabilists and statisticians on the occasion of the Platinum Jubilee Celebrations of the Indian Statistical Institute. It covers topics in probability and statistics, and offers a perspective of different areas of research, emphasizing the major challenging issues.
Автор: Shao Jun Название: Mathematical Statistics ISBN: 0387953825 ISBN-13(EAN): 9780387953823 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics.
Описание: The present book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. The author's own experience, both in learning and in teaching, is that challenging problems often provide more, and longer lasting, inductive insights than plain-style deductions from general concepts. Problems help to develop, and to sharpen our intuition for important probabilistical concepts and tools such as conditionaing or first-step analyses.Many puzzles and problems presented here are either new within a problem solving context (although as topics in fundamental research they are of course long known) or are variations of classical problems which follow directly from elementary concepts. A small number of particularly instructive problems is taken from previous sources which in this case are generally given.
