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Title:Introductory Statistics
Format Type:Ebook
Author:
Publisher:Academic Press
ISBN:0080547346
ISBN 13:
Number of Pages:832
Category:Manga

Introductory Statistics by Sheldon M. Ross

PDF, EPUB, MOBI, TXT, DOC Introductory Statistics In this revised text master expositor Sheldon Ross has produced a unique work in introductory statistics The text s main merits are the clarity of presentation contemporary examples and applications from diverse areas and an explanation of intuition and ideas behind the statistical methods To quote from the preface It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data Ross achieves this goal through a coherent mix of mathematical analysis intuitive discussions and examples Ross s clear writing style leads students easily through descriptive and inferential statistics Hundreds of exercises assess students conceptual and computational understanding Real data sets from current issues draw from a variety of disciplines Statistics in Perspective highlights demonstrate real world application of techniques and concepts Historical Perspectives sections profile prominent statisticians and events Chapter Introductions pose realistic statistical situations Chapter Summaries and Key Terms reinforce learning A detachable Formula Card includes frequently used tables and formulas to facilitate studying Enclosed CD ROM contains programs that can be used to solve basic computation problems New in this Edition Dozens of new and updated examples and exercises New sections on assessing the linear regression model by analyzing residuals quality control counting principles Poisson random variables Detailed edits and enhancements based on users feedback A computerized test bank plus updates to other ancillaries Ancillaries Instructor s Manual Student Solutions Manual ISBN Printed Test Bank Computerized Test Bank Instructor s web site with additional online materials

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Introduction to Probability and Statistics for Engineers and Scientists, Student Solutions Manual, Simulation, Applied Probability Models with Optimization Applications, Introduction to Probability Models, An Elementary Introduction to Mathematical Finance: Options and Other Topics, Solutions Manual: A First Course in Probability, A First Course in Probability, Introduction to Probability and Statistics for Engineers and Scientists [With CDROM], An Introduction to Mathematical Finance: Options and Other Topics, Stochastic Processes
Concise advanced level introduction to stochastic processes that frequently arise in applied probability Largely self contained text covers Poisson process renewal theory Markov chains inventory theory Brownian motion and continuous time optimization models much more Problems and references at chapter ends excellent introduction Journal of the American Statistical Association Bibliography edition br, No description available, A nonmeasure theoretic introduction to stochastic processes Considers its diverse range of applications and provides readers with probabilistic intuition and insight in thinking about problems This revised edition contains additional material on compound Poisson random variables including an identity which can be used to efficiently compute moments a new chapter on Poisson approximations and coverage of the mean time spent in transient states as well as examples relating to the Gibb s sampler the Metropolis algorithm and mean cover time in star graphs Numerous exercises and problems have been added throughout the text, i Introduction to Probability Models Ninth Edition i is the primary text for a first undergraduate course in applied probability This updated edition of Ross s classic bestseller provides an introduction to elementary probability theory and stochastic processes and shows how probability theory can be applied to the study of phenomena in fields such as engineering computer science management science the physical and social sciences and operations research With the addition of several new sections relating to actuaries this text is highly recommended by the Society of Actuaries br br This book now contains a new section on compound random variables that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions a new section on hiddden Markov chains including the forward and backward approaches for computing the joint probability mass function of the signals as well as the Viterbi algorithm for determining the most likely sequence of states and a simplified approach for analyzing nonhomogeneous Poisson processes There are also additional results on queues relating to the conditional distribution of the number found by an M M arrival who spends a time t in the system inspection paradox for M M queues and M G queue with server breakdown Furthermore the book includes new examples and exercises along with compulsory material for new Exam of the Society of Actuaries br br This book is essential reading for professionals and students in actuarial science engineering operations research and other fields in applied probability br br br br A new section on COMPOUND RANDOM VARIABLES that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions br br A new section on HIDDDEN MARKOV CHAINS including the forward and backward approaches for computing the joint probability mass function of the signals as well as the Viterbi algorithm for determining the most likely sequence of states br br Simplified Approach for Analyzing Nonhomogeneous Poisson processes br br Additional results on queues relating to the br a conditional distribution of the number found by an M M arrival who spends a time t in the system br b inspection paradox for M M queues br c M G queue with server breakdown br br Many new examples and exercises