# Search Results for "probability-and-statistics-pearson-new-international-edition"

## Probability and Statistics: Pearson New International Edition

**Author**: Morris H. DeGroot,Mark J. Schervish**Publisher:**Pearson Higher Ed**ISBN:**1292037679**Category:**Mathematics**Page:**848**View:**2360

The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

## Probability and Statistics for Engineers and Scientists: Pearson New International Edition

**Author**: Ronald E. Walpole,Raymond H. Myers,Sharon L. Myers,Keying E. Ye**Publisher:**Pearson Higher Ed**ISBN:**1292037032**Category:****Page:**864**View:**9415

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book.

## Miller & Freund's Probability and Statistics for Engineers: Pearson New International Edition

**Author**: Richard A. Johnson,Irwin Miller,John Freund**Publisher:**Pearson Higher Ed**ISBN:**1292036966**Category:****Page:**776**View:**4977

For an introductory, one or two semester, sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. This text is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data have been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially two-level factorial design.

## Probability and Statistics by Example

**Author**: Yuri Suhov,Mark Kelbert**Publisher:**Cambridge University Press**ISBN:**1107603587**Category:**Mathematics**Page:**470**View:**2388

A valuable resource for students and teachers alike, this second edition contains more than 200 worked examples and exam questions.

## Probability and Statistics by Example: Volume 1, Basic Probability and Statistics

**Author**: Yuri Suhov,Mark Kelbert**Publisher:**Cambridge University Press**ISBN:**1316062201**Category:**Mathematics**Page:**N.A**View:**3382

Probability and statistics are as much about intuition and problem solving as they are about theorem proving. Consequently, students can find it very difficult to make a successful transition from lectures to examinations to practice because the problems involved can vary so much in nature. Since the subject is critical in so many applications from insurance to telecommunications to bioinformatics, the authors have collected more than 200 worked examples and examination questions with complete solutions to help students develop a deep understanding of the subject rather than a superficial knowledge of sophisticated theories. With amusing stories and historical asides sprinkled throughout, this enjoyable book will leave students better equipped to solve problems in practice and under exam conditions.

## A Little Book on Probability and Finance

**Author**: Cho, Seung Mo**Publisher:**주식회사 부크크**ISBN:**N.A**Category:**Business & Economics**Page:**100**View:**331

Modern finance theory is vast and deep with various academic bases such as microeconomics, econometrics, probability theory, stochastic calculus, psychology, sociology, political economy, etc. depending on the specific research theme. Among those bases, this book is adopting probability theory and stochastic calculus to present some of the main contents of finance in a very concise manner. As a matter of fact, the objective of this book is to show, as concisely as possible, how probability and stochastic calculus is closely related to modern mathematical finance. So the organization of the book is to present theories of probability first and then their related financial theories later within each of the chapters in the theorem-proof style. From my past experience, students with a quantitative background prefer mathematical symbols to normal English sentences especially in case they are not native speakers of English. So I have tried to minimize the use of English sentences. This book is intended for upper level undergraduate courses and introductory graduate courses in mathematical finance for a single semester. This book can also be used for self-studying students with proper prerequisite knowledge. The only prerequisite for this book is one year courses of calculus.

## Lineare Algebra

*Einführung, Grundlagen, Übungen*

**Author**: Howard Anton**Publisher:**Springer Verlag**ISBN:**9783827403247**Category:**Mathematics**Page:**680**View:**6062

In Ihrer Hand liegt ein Lehrbuch - in sieben englischsprachigen Ausgaben praktisch erprobt - das Sie mit groem didaktischen Geschick, zudem angereichert mit zahlreichen Ubungsaufgaben, in die Grundlagen der linearen Algebra einfuhrt. Kenntnisse der Analysis werden fur das Verstandnis nicht generell vorausgesetzt, sind jedoch fur einige besonders gekennzeichnete Beispiele notig. Padagogisch erfahren, behandelt der Autor grundlegende Beweise im laufenden Text; fur den interessierten Leser jedoch unverzichtbare Beweise finden sich am Ende der entsprechenden Kapitel. Ein weiterer Vorzug des Buches: Die Darstellung der Zusammenhange zwischen den einzelnen Stoffgebieten - linearen Gleichungssystemen, Matrizen, Determinanten, Vektoren, linearen Transformationen und Eigenwerten.

## Fundamentals of Queueing Theory

**Author**: John F. Shortle,James M. Thompson,Donald Gross,Carl M. Harris**Publisher:**John Wiley & Sons**ISBN:**1118943562**Category:**Business & Economics**Page:**576**View:**8350

The definitive guide to queueing theory and its practical applications—features numerous real-world examples of scientific, engineering, and business applications Thoroughly updated and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fifth Edition presents the statistical principles and processes involved in the analysis of the probabilistic nature of queues. Rather than focus narrowly on a particular application area, the authors illustrate the theory in practice across a range of fields, from computer science and various engineering disciplines to business and operations research. Critically, the text also provides a numerical approach to understanding and making estimations with queueing theory and provides comprehensive coverage of both simple and advanced queueing models. As with all preceding editions, this latest update of the classic text features a unique blend of the theoretical and timely real-world applications. The introductory section has been reorganized with expanded coverage of qualitative/non-mathematical approaches to queueing theory, including a high-level description of queues in everyday life. New sections on non-stationary fluid queues, fairness in queueing, and Little’s Law have been added, as has expanded coverage of stochastic processes, including the Poisson process and Markov chains. • Each chapter provides a self-contained presentation of key concepts and formulas, to allow readers to focus independently on topics relevant to their interests • A summary table at the end of the book outlines the queues that have been discussed and the types of results that have been obtained for each queue • Examples from a range of disciplines highlight practical issues often encountered when applying the theory to real-world problems • A companion website features QtsPlus, an Excel-based software platform that provides computer-based solutions for most queueing models presented in the book. Featuring chapter-end exercises and problems—all of which have been classroom-tested and refined by the authors in advanced undergraduate and graduate-level courses—Fundamentals of Queueing Theory, Fifth Edition is an ideal textbook for courses in applied mathematics, queueing theory, probability and statistics, and stochastic processes. This book is also a valuable reference for practitioners in applied mathematics, operations research, engineering, and industrial engineering.

## Psychology and Work Today

*Pearson New International Edition CourseSmart eTextbook*

**Author**: Duane Schultz,Sydney Ellen Schultz**Publisher:**Routledge**ISBN:**1317350812**Category:**Psychology**Page:**456**View:**9623

For undergraduate-level courses in Industrial and Organizational Psychology, Business Psychology, Personnel Psychology and Applied Psychology. Psychology and Work Today provides an invaluable foundation for anyone entering today's global business and industrial world. This informative, sophisticated, and entertaining text teaches students about the nature of work in modern society. By focusing on the practical and applied rather than the scientific ideal, the authors demonstrate how industrial-organizational psychology directly impacts our lives as job applicants, trainees, employees, managers, and consumers.

## Probability and Statistical Inference

**Author**: Robert V. Hogg,Elliot A. Tanis**Publisher:**Prentice Hall**ISBN:**9780321584755**Category:**Mathematics**Page:**622**View:**5331

BOOK DESCRIPTION: Written by two leading statisticians, this applied introduction to the mathematics of probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. NEW TO THIS EDITION: The included CD-ROM contains all of the data sets in a variety of formats for use with most statistical software packages. This disc also includes several applications of Minitab® and Maple(tm). Historical vignettes at the end of each chapter outline the origin of the greatest accomplishments in the field of statistics, adding enrichment to the course. Content updates The first five chapters have been reorganized to cover a standard probability course with more real examples and exercises. These chapters are important for students wishing to pass the first actuarial exam, and cover the necessary material needed for students taking this course at the junior level. Chapters 6 and 7 on estimation and tests of statistical hypotheses tie together confidence intervals and tests, including one-sided ones. There are separate chapters on nonparametric methods, Bayesian methods, and Quality Improvement. Chapters 4 and 5 include a strong discussion on conditional distributions and functions of random variables, including Jacobians of transformations and the moment-generating technique. Approximations of distributions like the binomial and the Poisson with the normal can be found using the central limit theorem. Chapter 8 (Nonparametric Methods) includes most of the standards tests such as those by Wilcoxon and also the use of order statistics in some distribution-free inferences. Chapter 9 (Bayesian Methods) explains the use of the "Dutch book" to prove certain probability theorems. Chapter 11 (Quality Improvement) stresses how important W. Edwards Deming's ideas are in understanding variation and how they apply to everyday life. TABLE OF CONTENTS: Preface Prologue 1. Probability 1.1 Basic Concepts 1.2 Properties of Probability 1.3 Methods of Enumeration 1.4 Conditional Probability 1.5 Independent Events 1.6 Bayes's Theorem 2. Discrete Distributions 2.1 Random Variables of the Discrete Type 2.2 Mathematical Expectation 2.3 The Mean, Variance, and Standard Deviation 2.4 Bernoulli Trials and the Binomial Distribution 2.5 The Moment-Generating Function 2.6 The Poisson Distribution 3. Continuous Distributions 3.1 Continuous-Type Data 3.2 Exploratory Data Analysis 3.3 Random Variables of the Continuous Type 3.4 The Uniform and Exponential Distributions 3.5 The Gamma and Chi-Square Distributions 3.6 The Normal Distribution 3.7 Additional Models 4. Bivariate Distributions 4.1 Distributions of Two Random Variables 4.2 The Correlation Coefficient 4.3 Conditional Distributions 4.4 The Bivariate Normal Distribution 5. Distributions of Functions of Random Variables 5.1 Functions of One Random Variable 5.2 Transformations of Two Random Variables 5.3 Several Independent Random Variables 5.4 The Moment-Generating Function Technique 5.5 Random Functions Associated with Normal Distributions 5.6 The Central Limit Theorem 5.7 Approximations for Discrete Distributions 6. Estimation 6.1 Point Estimation 6.2 Confidence Intervals for Means 6.3 Confidence Intervals for Difference of Two Means 6.4 Confidence Intervals for Variances 6.5 Confidence Intervals for Proportions 6.6 Sample Size. 6.7 A Simple Regression Problem 6.8 More Regression 7. Tests of Statistical Hypotheses 7.1 Tests about Proportions 7.2 Tests about One Mean 7.3 Tests of the Equality of Two Means 7.4 Tests for Variances 7.5 One-Factor Analysis of Variance 7.6 Two-Factor Analysis of Variance 7.7 Tests Concerning Regression and Correlation 8. Nonparametric Methods 8.1 Chi-Square Goodness of Fit Tests 8.2 Contingency Tables 8.3 Order Statistics 8.4 Distribution-Free Confidence Intervals for Percentiles 8.5 The Wilcoxon Tests 8.6 Run Test and Test for Randomness 8.7 Kolmogorov-Smirnov Goodness of Fit Test 8.8 Resampling Methods 9. Bayesian Methods 9.1 Subjective Probability 9.2 Bayesian Estimation 9.3 More Bayesian Concepts 10. Some Theory 10.1 Sufficient Statistics 10.2 Power of a Statistical Test 10.3 Best Critical Regions 10.4 Likelihood Ratio Tests 10.5 Chebyshev's Inequality and Convergence in Probability 10.6 Limiting Moment-Generating Functions 10.7 Asymptotic Distributions of Maximum Likelihood Estimators 11. Quality Improvement Through Statistical Methods 11.1 Time Sequences 11.2 Statistical Quality Control 11.3 General Factorial and 2k Factorial Designs 11.4 Understanding Variation A. Review of Selected Mathematical Techniques A.1 Algebra of Sets A.2 Mathematical Tools for the Hypergeometric Distribution A.3 Limits A.4 Infinite Series A.5 Integration A.6 Multivariate Calculus B. References C. Tables D. Answers to Odd-Numbered Exercises

## Essentials of Probability & Statistics for Engineers & Scientists: Pearson New International Edition

**Author**: Ronald E. Walpole,Raymond Myers,Sharon L. Myers,Keying E. Ye**Publisher:**Pearson Higher Ed**ISBN:**1292035730**Category:****Page:**480**View:**1609

For junior/senior undergraduates taking a one-semester probability and statistics course as applied to engineering, science, or computer science. This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. Students using this text should have the equivalent of the completion of one semester of differential and integral calculus.

## John E. Freund's Mathematical Statistics with Applications: Pearson New International Edition

**Author**: Irwin Miller,Marylees Miller**Publisher:**Pearson Higher Ed**ISBN:**1292037636**Category:**Mathematics**Page:**480**View:**1724

John E. Freund's Mathematical Statistics with Applications, Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices. This text is appropriate for a two-semester or three-quarter calculus-based course in Introduction to Mathematical Statistics. It can also be used for a single-semester course emphasizing probability, probability distributions and densities, sampling, and classical statistical inference.

## First Course in Statistics, A: Pearson New International Edition

**Author**: James T McClave,Terry Sincich**Publisher:**Pearson Higher Ed**ISBN:**1292036818**Category:**Mathematics**Page:**600**View:**5982

Classic, yet contemporary. Theoretical, yet applied. McClave & Sincich’s Statistics: A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. The Eleventh Edition infuses a new focus on ethics, which is critically important when working with statistical data. Chapter Summaries have a new, study-oriented design, helping students stay focused when preparing for exams. Data, exercises, technology support, and Statistics in Action cases are updated throughout the book. In addition, MyStatLab will have increased exercise coverage and two new banks of questions to draw from: Getting Ready for Stats and Conceptual Question Library. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.

## Introduction to Mathematical Statistics: Pearson New International Edition

**Author**: Robert V. Hogg,Joeseph McKean,Allen T Craig**Publisher:**Pearson Higher Ed**ISBN:**1292037628**Category:**Mathematics**Page:**656**View:**9427

Introduction to Mathematical Statistics, Seventh Edition, provides students with a comprehensive introduction to mathematical statistics. Continuing its proven approach, the Seventh Edition has been updated with new examples, exercises, and content for an even stronger presentation of the material.

## Statistics: Pearson New International Edition

*The Art and Science of Learning from Data*

**Author**: Alan Agresti,Christine Franklin**Publisher:**Pearson Higher Ed**ISBN:**1292034416**Category:**Mathematics**Page:**816**View:**1444

Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible without compromising necessary rigor. Authors Alan Agresti and Christine Franklin believe that it’s important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor’s Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.

## First Course in Probability, A: Pearson New International Edition

**Author**: Sheldon Ross**Publisher:**Pearson Higher Ed**ISBN:**1292037563**Category:**Mathematics**Page:**464**View:**4970

A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

## Statistics: Pearson New International Edition

*Informed Decisions Using Data*

**Author**: Michael Sullivan**Publisher:**Pearson Higher Ed**ISBN:**1292037059**Category:**Mathematics**Page:**908**View:**4612

Mike Sullivan regularly teaches introductory statistics, and this experience has helped him develop a understanding of what today’s students need to succeed in the course. Statistics: Informed Decisions Using Data, Fourth Edition, provides tools that help students see the bigger picture and make informed decisions. In addition, Mike’s contributions to the supplements and technology program make it easier to teach a multi-dimensional, engaging course. Developed for this new edition, a Student Activity Workbook with accompanying instructor notes helps instructors integrate activities into their course. Also, the text offers new features that take advantage of statistical software, so students can focus on building conceptual understanding rather than memorizing formulas. A new example structure offers a bridge between by-hand solutions and the use of technology, and updated technology support appears in each chapter. All the resources—including the author’s Camtasia Studio® videos that respond to student questions and his national survey data in StatCrunch—were created for Mike’s classroom and are available for use in yours, to help students succeed and stay engaged.

## Stats: Pearson New International Edition

*Data and Models*

**Author**: Richard D. De Veaux,Paul F. Velleman,David E. Bock**Publisher:**Pearson Higher Ed**ISBN:**129203565X**Category:**Mathematics**Page:**904**View:**5546

Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourage students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses. The book is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics. ¿ Datasets and other resources (where applicable) for this book are available at www.pearsonhighered.com/dvb

## Miller and Freund's Probability and Statistics for Engineers

**Author**: Richard A. Johnson,Irwin Miller,John E. Freund**Publisher:**Pearson**ISBN:**9780134995380**Category:**Engineering**Page:**552**View:**6939

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. For an introductory, one or two semester, or sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. An Applications-Focused Introduction to Probability and Statistics Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially two-level factorial design. The Ninth Edition includes several new datasets and examples showing application of statistics in scientific investigations, familiarizing students with the latest methods, and readying them to become real-world engineers and scientists.

## Elementary Statistics: Pearson New International Edition

**Author**: Mario F. Triola**Publisher:**Pearson Higher Ed**ISBN:**1292055782**Category:**Mathematics**Page:**840**View:**4781

From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Twelfth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new. New coverage of Ethics in Statistics highlights new guidelines that have been established in industry. The accompanying MyStatLab™ online course provides users with countless opportunities to practice, plus learning tools that enhance their experience and comprehension. Instructions and displays for StatCrunch®, Pearson’s powerful online statistical software, are now integrated into the text as well as the MyStatLab course. Elementary Statistics is part of a series that also includes an Essentials version as well as technology-specific texts, Elementary Statistics Using the TI 83/84 Calculator and Elementary Statistics Using Excel. Data sets and other resources for this series are available at our website.