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Author: Vijay K. Rohatgi Publisher: John Wiley & Sons ISBN: 1118165683 Category : Mathematics Languages : en Pages : 748
Book Description
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.
Author: F.M. Dekking Publisher: Springer Science & Business Media ISBN: 1846281687 Category : Mathematics Languages : en Pages : 488
Book Description
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
Author: Vijay K. Rohatgi Publisher: John Wiley & Sons ISBN: 1118165683 Category : Mathematics Languages : en Pages : 748
Book Description
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.
Author: William Mendenhall Publisher: Duxbury Resource Center ISBN: Category : Mathematics Languages : en Pages : 486
Book Description
What is statistics? Useful mathematical notation; Describing distributions of measurements; Probability; Random variables and probability distributions; The binomial probability distribution; The normal probability distribution; Statistical inference; Inference from small samples; Linear regression and correlation; Analysis of enumerative data; Considerations in designing experiments; The analysis of variance; Nonparametric statistics.
Author: G. Jay Kerns Publisher: Lulu.com ISBN: 0557249791 Category : Languages : en Pages : 388
Book Description
This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.
Author: William Mendenhall Publisher: Thomson Brooks/Cole ISBN: 9781133111504 Category : Mathematical statistics Languages : en Pages : 721
Book Description
Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, 14E, International Edition blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new edition retains the text's straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, this text equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you.
Author: Janet Susan Milton Publisher: McGraw-Hill Science, Engineering & Mathematics ISBN: 9780070426238 Category : Computer science Languages : en Pages : 0
Book Description
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: Vijay K. Rohatgi Publisher: John Wiley & Sons ISBN: 111879964X Category : Mathematics Languages : en Pages : 722
Book Description
A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
Author: Harold J. Larson Publisher: John Wiley & Sons ISBN: Category : Mathematical statistics Languages : en Pages : 450
Book Description
Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on descriptive statistics. Cramer-Rao bounds for variance of estimators, two-sample inference procedures, bivariate normal probability law, F-Distribution, and the analysis of variance and non-parametric procedures. Contains numerous practical examples and exercises.
Author: Vijay K. Rohatgi
Author: F.M. Dekking
Author: Vijay K. Rohatgi
Author: William Mendenhall
Author: G. Jay Kerns
Author: William Mendenhall
Author: 
Author: Janet Susan Milton
Author: Vijay K. Rohatgi
Author: William Mendenhall
Author: Harold J. Larson