وبلاگ بلیان

مقدمه‌ای بر احتمال و آمار برای مهندسان و دانشمندان، ویرایش پنجم (همراه با راهنمای مدرس)

Introduction to Probability and Statistics for Engineers and Scientists, 5e (With Instructor's Manual)

جلد کتاب مقدمه‌ای بر احتمال و آمار برای مهندسان و دانشمندان، ویرایش پنجم (همراه با راهنمای مدرس)

معرفی کتاب «مقدمه‌ای بر احتمال و آمار برای مهندسان و دانشمندان، ویرایش پنجم (همراه با راهنمای مدرس)» (با عنوان لاتین Introduction to Probability and Statistics for Engineers and Scientists, 5e (With Instructor's Manual)) نوشتهٔ Sheldon M. Ross، منتشرشده توسط نشر Academic Press در سال 2014. این کتاب در 4 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است. «مقدمه‌ای بر احتمال و آمار برای مهندسان و دانشمندان، ویرایش پنجم (همراه با راهنمای مدرس)» در دستهٔ ریاضیات قرار دارد.

__**Introduction to Probability and Statistics for Engineers and Scientists**__ 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 tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations. * Clear exposition by a renowned expert author * Real data examples that use significant real data from actual studies across life science, engineering, computing and business * End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material * 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science * New additions to proofs in the estimation section * New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions. Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in 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 from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions. This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields. Clear exposition by a renowned expert author Real data examples that use significant real data from actual studies across life science, engineering, computing and business End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science New additions to proofs in the estimation section New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

Introduction to Probability and Statistics for Engineers and Scientists 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 tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations.



  • Clear exposition by a renowned expert author
  • Real data examples that use significant real data from actual studies across life science, engineering, computing and business
  • End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
  • 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
  • New additions to proofs in the estimation section
  • New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.
ABOUT THIS PDF FILE:This PDF file contains both the textbook (isbn: 9780123948113) and the Instructor's Manual (isbn: 9780128020463).Pages 1 - 7, and then later 67 -730 contain the main textbook.Pages 8 - 66 contain the Instructor's Manual.This file does not contain a table of contents for the main textbook, nor does it include PDF bookmarks to the relevant chapters or contents. Reader needs to look up relevant content manually.ABOUT THE BOOK:This textbook demonstrates how to apply probability theory to gain insight into real, everyday statistical problems and situations. It has been written for an introductory course in statistics or in probability and statistics for students in engineering, computer science, mathematics, statistics, and the natural sciences.It assumes knowledge of elementary calculus.WHAT'S NEW IN THE 5TH EDITION:- 25% New Updated problem sets and applications- New additions to proofs in the estimation section- New subsections on The Pareto Distribution (subsection 5.6.2), Prediction Intervals (subsection 7.3.2 ), Dummy Variables for Categorical Data (subsection 9.10.2), Testing the Equality of Multiple Probability Distributions (subsection 12.4.2). Content: Front matter, Pages i,iii Copyright, Page iv Dedication, Page v Preface, Pages xiii-xv Instructor’s Manual for, Pages e1-e3,e5-e60 Chapter 1 - Introduction to Statistics, Pages 1-8 Chapter 2 - Descriptive Statistics, Pages 9-51 Chapter 3 - Elements of Probability, Pages 53-87 Chapter 4 - Random Variables and Expectation, Pages 89-140 Chapter 5 - Special Random Variables, Pages 141-205 Chapter 6 - Distributions of Sampling Statistics, Pages 207-233 Chapter 7 - Parameter Estimation, Pages 235-296 Chapter 8 - Hypothesis Testing, Pages 297-356 Chapter 9 - Regression, Pages 357-444 Chapter 10 - Analysis of Variance, Pages 445-488 Chapter 11 - Goodness of Fit Tests and Categorical Data Analysis, Pages 489-520 Chapter 12 - Nonparametric Hypothesis Tests, Pages 521-551 Chapter 13 - Quality Control, Pages 553-587 Chapter 14 - Life Testing, Pages 589-618 Chapter 15 - Simulation, Bootstrap Statistical Methods, and Permutation Tests, Pages 619-646 Appendix of Tables, Pages 647-652 Index, Pages 653-670 This book 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 tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations
دانلود کتاب مقدمه‌ای بر احتمال و آمار برای مهندسان و دانشمندان، ویرایش پنجم (همراه با راهنمای مدرس)