# 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:**1742

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 Statistical Inference: Pearson New International Edition

**Author**: Robert V. Hogg,Elliot A. Tanis**Publisher:**N.A**ISBN:**9781292024783**Category:**Mathematical statistics**Page:**640**View:**4200

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.

## 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:**3802

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:**2892

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:**7663

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:**1171

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:**4806

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.

## Fundamentals of Probability, with Stochastic Processes

*Pearson New International Edition*

**Author**: Saeed Ghahramani**Publisher:**Pearson**ISBN:**9781292039121**Category:**Probabilities**Page:**621**View:**3764

For one- or two-semester Basic Probability courses in the departments of Mathematics, Physics, Engineering, Statistics, Actuarial Science, Operations Research, and Computer Science. Probability is presented in a very clear way in this text: through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. Due to its unique organization, this text has also been successfully used in teaching courses in discrete probability.

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

**Author**: Sheldon Ross**Publisher:**Pearson Higher Ed**ISBN:**1292037563**Category:**Mathematics**Page:**464**View:**8340

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.

## 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:**4816

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.

## 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:**9843

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.

## 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:**8330

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.

## 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:**3473

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.

## 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:**1976

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.

## Elementary Statistics: Pearson New International Edition

**Author**: Mario F. Triola**Publisher:**Pearson Higher Ed**ISBN:**1292055782**Category:**Mathematics**Page:**840**View:**9832

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.

## Wenn Gott würfelt oder Wie der Zufall unser Leben bestimmt

**Author**: Leonard Mlodinow**Publisher:**N.A**ISBN:**9783499625510**Category:**Chance**Page:**317**View:**508

An irreverent look at how randomness influences our lives, and how our successes and failures are far more dependent on chance events than we recognize.

## 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:**6232

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

*The Art and Science of Learning from Data*

**Author**: Alan Agresti,Christine A. Franklin,Bernhard Klingenberg**Publisher:**Pearson**ISBN:**0133860914**Category:**Mathematics**Page:**848**View:**4455

For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors 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. Also available with MyStatLab MyStatLab™ is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, new web apps with complementary exercises, a tightly integrated video program, and strong exercise coverage enhance student learning. Note: You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase boththe physical text and MyLab & Mastering, search for: 0134101677 / 9780134101675 * Statistics Plus New MyStatLab with Pearson eText -- Access Card Package Package consists of: 0321847997 / 9780321847997 * My StatLab Glue-in Access Card 032184839X / 9780321848390 * MyStatLab Inside Sticker for Glue-In Packages 0321997832 / 9780321997838 * Statistics: The Art and Science of Learning from Data

## Stats

*Data and Models, Second Canadian Edition,*

**Author**: Richard D. De Veaux,Paul Velleman,David E. Bock,Augustin M. Vukov,Augustine Wong**Publisher:**Pearson Canada**ISBN:**0321976584**Category:**Mathematics**Page:**1032**View:**8001

## Fundamentals of Probability

*with Stochastic Processes, Third Edition*

**Author**: Saeed Ghahramani**Publisher:**CRC Press**ISBN:**149875502X**Category:**Mathematics**Page:**614**View:**6552

Fundamentals of Probability with Stochastic Processes, Third Edition teaches probability in a natural way through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. The author takes a mathematically rigorous approach while closely adhering to the historical development of probability. He includes more than 1500 routine and challenging exercises, historical remarks, and discussions of probability problems recently published in journals, such as Mathematics Magazine and American Mathematical Monthly. New to the Third Edition Reorganized material to reflect a more natural order of topics 278 new exercises and examples as well as better solutions to the problems New introductory chapter on stochastic processes More practical, nontrivial applications of probability and stochastic processes in finance, economics, and actuarial sciences, along with more genetics examples New section on survival analysis and hazard functions More explanations and clarifying comments in almost every section This versatile text is designed for a one- or two-term probability course for majors in mathematics, physical sciences, engineering, statistics, actuarial science, business and finance, operations research, and computer science. It also accessible to students who have completed a basic calculus course.