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Author by: V. Author by: Sheldon M. RossLanguange: enPublisher by: Academic PressFormat Available: PDF, ePub, MobiTotal Read: 64Total Download: 753File Size: 55,9 MbDescription: This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.
As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. New to the 4th Edition: - New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests - 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science - New Real data examples that use significant real data from actual studies across life science, engineering, computing and business - New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material.
Author by: Janet Susan MiltonLanguange: enPublisher by: McGraw-Hill Science/Engineering/MathFormat Available: PDF, ePub, MobiTotal Read: 72Total Download: 633File Size: 54,7 MbDescription: This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus.
The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. Author by: D.
LindleyLanguange: enPublisher by: CUP ArchiveFormat Available: PDF, ePub, MobiTotal Read: 78Total Download: 771File Size: 49,6 MbDescription: The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are written primarily for general mathematicians, rather than for statistical specialists or for natural scientists who need to use statistics in their work. No previous knowledge of probability or statistics is assumed, though familiarity with calculus and linear algebra is required. The first volume takes the theory of probability sufficiently far to be able to discuss the simpler random processes, for example, queueing theory and random walks.
The second volume deals with statistics, the theory of making valid inferences from experimental data, and includes an account of the methods of least squares and maximum likelihood; it uses the results of the first volume. Author by: William MendenhallLanguange: enPublisher by: Cengage LearningFormat Available: PDF, ePub, MobiTotal Read: 39Total Download: 601File Size: 44,9 MbDescription: Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, continues to blend the best of its proven, error-free coverage with new innovations. Written for the higher end of the traditional introductory statistics market, the book takes advantage of modern technology-including computational software and interactive visual tools-to facilitate statistical reasoning as well as the interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. The new edition retains the statistical integrity, examples, exercises, and exposition that have made this text a market leader-and builds upon this tradition of excellence with new technology integration.
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. Author by: Vijay K. RohatgiLanguange: enPublisher by: John Wiley & SonsFormat Available: PDF, ePub, MobiTotal Read: 53Total Download: 887File Size: 47,6 MbDescription: MarketDesc: This book is intended for Upper Seniors and Beginning Graduate Students in Mathematics, as well as Students in Physics and Engineering with strong mathematical backgrounds. It was designed for a three-quarter course meeting four hours per week or a two-semester course meeting three hours per week.
Special Features: An excellent introduction to the field of statistics organized in three parts: probability, foundations of statistical inference, and special topics. The Second Edition boasts a completely updated statistical inference section as well as many new problems, examples, and figures. It omits the introduction section and the chapter on sequential statistical inference. Includes over 350 worked examples. Offers the proof of the central limit theorem by the method of operators and proof of the strong law of large numbers.
Contains a section on minimal sufficient statistics. Carefully presents the theory of confidence intervals, including Bayesian intervals and shortest-length confidence intervals. About The Book: The second edition now has an updated statistical inference section (chapters 8 to 13). Many revisions have been made, the references have been updated, and many new problems and worked examples have been added. Author by: Hans-Otto GeorgiiLanguange: enPublisher by: Walter de GruyterFormat Available: PDF, ePub, MobiTotal Read: 55Total Download: 974File Size: 50,6 MbDescription: This book is a translation of the third edition of the well accepted German textbook 'Stochastik', which presents the fundamental ideas and results of both probability theory and statistics, and comprises the material of a one-year course. The stochastic concepts, models and methods are motivated by examples and problems and then developed and analysed systematically.