Probability and Statistics

Author: Morris H. DeGroot,Mark J. Schervish

Publisher: Pearson College Division

ISBN: 9780321500465

Category: Mathematics

Page: 893

View: 7447

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. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
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Schaum's Outline of Probability and Statistics, 4th Edition

897 Solved Problems + 20 Videos

Author: John Schiller,R. Alu Srinivasan,Murray Spiegel

Publisher: McGraw Hill Professional

ISBN: 0071795588

Category: Study Aids

Page: 432

View: 1765

Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately, there's Schaum's. This all-in-one-package includes more than 750 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 20 detailed videos featuring Math instructors who explain how to solve the most commonly tested problems--it's just like having your own virtual tutor! You'll find everything you need to build confidence, skills, and knowledge for the highest score possible. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives you 897 fully solved problems Concise explanations of all course fundamentals Information on conditional probability and independence, random variables, binominal and normal distributions, sampling distributions, and analysis of variance Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum’s to shorten your study time--and get your best test scores! Schaum's Outlines--Problem Solved.
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Student Solutions Manual for Probability and Statistics

Author: Morris H. DeGroot,Mark J. Schervish

Publisher: Pearson College Division

ISBN: 9780321715982

Category: Mathematics

Page: 226

View: 8518

This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
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PROBABILITY AND STATISTICS IN ENGINEERING, 4TH ED

Author: William W. Hines,Douglas C. Montgomery,David M. Goldman. Connie M. Borror

Publisher: John Wiley & Sons

ISBN: 9788126516469

Category:

Page: 672

View: 1652

Market_Desc: · Advanced Undergraduate Students in Engineering or Management About The Book: This book retains the pedagogical strengths that made the previous editions so popular, including the use of real data in the examples. Topics included in this book are nonparametric statistics, p-values in hypothetical testing, residual analysis, quality control and experiment design.
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Introduction to Probability and Statistics for Engineers and Scientists

Author: Sheldon M. Ross

Publisher: Academic Press

ISBN: 9780080919379

Category: Mathematics

Page: 680

View: 3692

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
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Probability and Statistics for Engineers and Scientists

Author: Anthony J. Hayter

Publisher: Cengage Learning

ISBN: 1111827044

Category: Mathematics

Page: 864

View: 5975

PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the student-oriented approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily--and understands their vocabulary. The result of this familiarity with the professional community is a clear and readable writing style that students understand and appreciate, as well as high-interest, relevant examples and data sets that keep students' attention. A flexible approach to the use of computer tools, including tips for using various software packages, allows instructors to choose the program that best suits their needs. At the same time, substantial computer output (using MINITAB and other programs) gives students the necessary practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, management, and mathematics. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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A Modern Introduction to Probability and Statistics

Understanding Why and How

Author: F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester

Publisher: Springer Science & Business Media

ISBN: 1846281687

Category: Mathematics

Page: 488

View: 1988

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
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Introduction to probability and statistics

principles and applications for engineering and the computing sciences

Author: Janet Susan Milton,Jesse C. Arnold

Publisher: McGraw-Hill Science/Engineering/Math

ISBN: 9780072468366

Category: Business & Economics

Page: 798

View: 4237

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.
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Probability and Statistical Inference

Author: Robert Bartoszynski,Magdalena Niewiadomska-Bugaj

Publisher: John Wiley & Sons

ISBN: 9780470191583

Category: Mathematics

Page: 672

View: 8390

Now updated in a valuable new edition—this user-friendly book focuses on understanding the "why" of mathematical statistics Probability and Statistical Inference, Second Edition introduces key probability and statis-tical concepts through non-trivial, real-world examples and promotes the developmentof intuition rather than simple application. With its coverage of the recent advancements in computer-intensive methods, this update successfully provides the comp-rehensive tools needed to develop a broad understanding of the theory of statisticsand its probabilistic foundations. This outstanding new edition continues to encouragereaders to recognize and fully understand the why, not just the how, behind the concepts,theorems, and methods of statistics. Clear explanations are presented and appliedto various examples that help to impart a deeper understanding of theorems and methods—from fundamental statistical concepts to computational details. Additional features of this Second Edition include: A new chapter on random samples Coverage of computer-intensive techniques in statistical inference featuring Monte Carlo and resampling methods, such as bootstrap and permutation tests, bootstrap confidence intervals with supporting R codes, and additional examples available via the book's FTP site Treatment of survival and hazard function, methods of obtaining estimators, and Bayes estimating Real-world examples that illuminate presented concepts Exercises at the end of each section Providing a straightforward, contemporary approach to modern-day statistical applications, Probability and Statistical Inference, Second Edition is an ideal text for advanced undergraduate- and graduate-level courses in probability and statistical inference. It also serves as a valuable reference for practitioners in any discipline who wish to gain further insight into the latest statistical tools.
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Introduction to Probability and Statistics

Author: William Mendenhall,Syed Ejaz Ahmed,Robert J. Beaver,Barbara M. Beaver

Publisher: N.A

ISBN: 9780176570439

Category:

Page: 816

View: 4271

Introduction to Probability and Statistics, 4th Canadian Edition, retains the traditional outline for the coverage of descriptive and inferential statistics, and maintains the straightforward presentation of the previous edition. This revision continues to simplify and clarify the language and style to be more readable and "user friendly"--without sacrificing the statistical integrity of the presentation. Great effort has been taken to "train your brain" to explain not only how to apply statistical procedures, but also how to meaningfully describe real sets of data; what the results of statistical tests mean in terms of their practical applications; how to evaluate the validity of the assumptions behind statistical tests; what to do when statistical assumptions have been violated.Through clear exposition, real Canadian data and over 1300 exercises, Mendenhall helps the math phobic student to get to where they need to be. Mendenhall is the only solution that makes it easier for instructors to help students to think statistically. The new edition retains the statistical integrity, examples, exercises, and exposition that have made this text a market leader.
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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: 4615

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.
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Probability & Statistics

Author: Athanasios Papoulis

Publisher: N.A

ISBN: N.A

Category: Computers

Page: 454

View: 4023

A developed, complete treatment of undergraduate probability and statistics by a very well known author. The approach develops a unified theory presented with clarity and economy. Included many examples and applications. Appropriate for an introductory undergraduate course in probability and statistics for students in engineering, math, the physical sciences, and computer science.(vs. Walpole/Myers, Miller/Freund, Devore, Scheaffer/McClave, Milton/Arnold)
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Introductory Statistics

Author: Sheldon M. Ross

Publisher: Academic Press

ISBN: 012804361X

Category: Mathematics

Page: 828

View: 9652

Introductory Statistics, Fourth Edition, reviews statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods. Concepts are motivated, illustrated, and explained in a way that attempts to increase one's intuition. 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. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud, and many others. Examples relating to data mining techniques using the number of Google queries or Twitter tweets are also considered. For this fourth edition, new topical coverage includes sections on Pareto distribution and the 80-20 rule, Benford's law, added material on odds and joint distributions and correlation, logistic regression, A-B testing, and more modern (big data) examples and exercises. Includes new section on Pareto distribution and the 80-20 rule, Benford’s law, odds, joint distribution and correlation, logistic regression, A-B testing, and examples from the world of analytics and big data Comprehensive edition that includes the most commonly used statistical software packages (SAS, SPSS, Minitab), ISM, SSM, and an online graphing calculator manual Presents a unique, historical perspective, profiling prominent statisticians and historical events to motivate learning by including interest and context Provides exercises and examples that help guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, and scientific fraud
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Probability and Statistics

The Science of Uncertainty

Author: Michael J. Evans,Jeffrey S. Rosenthal

Publisher: Macmillan

ISBN: 9780716747420

Category: Mathematics

Page: 685

View: 2434

Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
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PROB, STATS & RANDOM PROC 3E

Author: VEERARAJAN

Publisher: Tata McGraw-Hill Education

ISBN: 1259083330

Category: Mathematical statistics

Page: 595

View: 9764

This book with the right blend of theory and applications is designed to provide a thorough knowledge on the basic concepts of Probability, Statistics and Random Variables offered to the undergraduate students of engineering. Addition of important topics as per the syllabi requirements is the basis of this revision. Features Detailed coverage of the topic on Statistical Measures of Central Tendency which includes Mean, Median and Mode. (Refer chapter number 4 on Statistical Averages. ) Detailed coverage of topics like Dispersion, Skewness and Kurtosis and Moments of a Random Variable. ( Refer chapter number 4 on Statistical Averages. ) Introduction of the topic on Linear Correlation and Regression has been discussed in chapter number 4. The applications of Random Variables have been dealt with in detail in chapter like Test of Hypothesis, Queueing Theory and Design of Experiments. ( Refer chapters 6, 9 and 10) Special Probability Distributions and their inter-relation has been explained with great clarity. Pedagogical Features : Solved Examples: 366 Numerical Questions: 1149 A total of 1555 questions in the book.
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Workshop Statistics:

Discovery With Data and Minitab

Author: Allan J. Rossman,Beth L. Chance

Publisher: Springer Science & Business Media

ISBN: 147572926X

Category: Mathematics

Page: 486

View: 5836

Shorn of all subtlety and led naked out of the protec tive fold of educational research literature, there comes a sheepish little fact: lectures don't work nearly as well as many of us would like to think. -George Cobb (1992) This book contains activities that guide students to discover statistical concepts, explore statistical principles, and apply statistical techniques. Students work toward these goals through the analysis of genuine data and through inter action with one another, with their instructor, and with technology. Providing a one-semester introduction to fundamental ideas of statistics for college and advanced high school students, Warkshop Statistics is designed for courses that employ an interactive learning environment by replacing lectures with hands on activities. The text contains enough expository material to stand alone, but it can also be used to supplement a more traditional textbook. Some distinguishing features of Workshop Statistics are its emphases on active learning, conceptual understanding, genuine data, and the use of technology. The following sections of this preface elaborate on each of these aspects and also describe the unusual organizational structure of this text.
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Applied Statistics and Probability for Engineers, Student Solutions Manual

Author: Douglas C. Montgomery,George C. Runger

Publisher: John Wiley & Sons

ISBN: 047088844X

Category: Technology & Engineering

Page: 398

View: 656

Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.
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The Practice of Statistics

Author: Daren S. Starnes,David S. Moore,Dan Yates,Josh Tabor

Publisher: Macmillan Higher Education

ISBN: 1464153876

Category: Mathematics

Page: 858

View: 6284

The Practice of Statistics (TPS) is written specifically to address the College Board AP® Statistics Course Description. Now the overwhelming bestseller for the course returns in a spectacular new edition.
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