Jul 04, 2020

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Mathematical Statistics and Data Analysis, Page 3 Advanced series Available 2010 Titles Enhanced Web Assign Series Duxbury advanced series Mathematical Statistics and Data Analysis, John A. Rice: Author: John A. Rice: Edition: 3, illustrated: Publisher: Cengage Learning, 2006: ISBN: 0534399428, 9780534399429: Length: 688 pages: Subjects

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Statistics is about the mathematical modeling of observable phenomena, using stochastic models, and about analyzing data: estimating parameters of the model and testing hypotheses. In these notes, we study various estimation and testing procedures. We consider their theoretical properties and we investigate various notions of optimality. 1.1 Some notation and model assumptions The data consist ...

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Notes on Mathematical Statistics and Data Analysis 3e by J.A. Rice (2006) YAP Von Bing, Statistics and Applied Probability, NUS November 18, 2011 1 Introduction These notes were the result of a course on Mathematical Statistics for year-two undergraduates at the National University of Singapore offered in Semester 1 (Fall) 2011. Topics covered were • Selected items in chapters 1-6, on ...

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Mathematical statistics. 2. Mathematical statistics—Data processing. I. Tsokos, Chris P. II. Title. QA276.R328 2009 519.5–dc22 2008044556 British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library. ISBN 13: 978-0-12-374848-5 For all information on all Elsevier Academic Press publications visit our Web site at www.elsevierdirect ...

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Mathematical Statistics and Data Analysis

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Third Edition brings the text up to date with new material and updated references. New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation procedures for left and interval censored data; parametric methods iwth covariates; Cox's proportional hazards model (including stratification and time-dependent covariates); and multiple responses ...

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Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." —Statistics in Medicine "It is a total delight reading this book." —Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference." —Technometrics The use of statistical methods for analyzing categorical data ...

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This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own ...

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