A First Course in Probability and Statistics with Applications
Author | : Peggy Tang Strait |
Publisher | : Harcourt College Pub |
Total Pages | : 599 |
Release | : 1989 |
Genre | : Mathematics |
ISBN | : 9780155275232 |
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Author | : Peggy Tang Strait |
Publisher | : Harcourt College Pub |
Total Pages | : 599 |
Release | : 1989 |
Genre | : Mathematics |
ISBN | : 9780155275232 |
Author | : B. L. S. Prakasa Rao |
Publisher | : World Scientific |
Total Pages | : 330 |
Release | : 2009 |
Genre | : Mathematics |
ISBN | : 9812836535 |
This book provides a clear exposition of the theory of probability along with applications in statistics.
Author | : Sheldon M. Ross |
Publisher | : |
Total Pages | : 536 |
Release | : 2002 |
Genre | : Mathematics |
ISBN | : |
P. 15.
Author | : Werner Linde |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 410 |
Release | : 2016-10-24 |
Genre | : Mathematics |
ISBN | : 3110466198 |
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author’s 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory. Contents: Probabilities Conditional Probabilities and Independence Random Variables and Their Distribution Operations on Random Variables Expected Value, Variance, and Covariance Normally Distributed Random Vectors Limit Theorems Mathematical Statistics Appendix Bibliography Index
Author | : A. Bruce Clarke |
Publisher | : John Wiley & Sons |
Total Pages | : 342 |
Release | : 1991-01-16 |
Genre | : Technology & Engineering |
ISBN | : 0471085359 |
A comprehensive textbook for undergraduate courses in introductory probability. Offers a case study approach, with examples from engineering and the social and life sciences. Updated second edition includes advanced material on stochastic processes. Suitable for junior and senior level courses in industrial engineering, mathematics, business, biology, and social science departments.
Author | : Rinaldo B. Schinazi |
Publisher | : Springer Science & Business Media |
Total Pages | : 349 |
Release | : 2011-12-15 |
Genre | : Mathematics |
ISBN | : 081768249X |
This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability. The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of one entirely new chapter (9) on ’Finding and Comparing Estimators.’ The classroom-tested material presented in this second edition forms the basis for a second course introducing mathematical statistics.
Author | : Anirban DasGupta |
Publisher | : Springer Science & Business Media |
Total Pages | : 457 |
Release | : 2010-04-02 |
Genre | : Mathematics |
ISBN | : 1441957804 |
Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?cult new problems emerge, that will require more sophisticated models and analysis. Thisisa text onthe fundamentalsof thetheoryofprobabilityat anundergraduate or ?rst-year graduate level for students in science, engineering,and economics. The only mathematical background required is knowledge of univariate and multiva- ate calculus and basic linear algebra. The book covers all of the standard topics in basic probability, such as combinatorial probability, discrete and continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional distributions of discrete and continuous random variables. But it also has some unique features and a forwa- looking feel.
Author | : Barry C. Arnold |
Publisher | : SIAM |
Total Pages | : 291 |
Release | : 2008-09-25 |
Genre | : Mathematics |
ISBN | : 0898716489 |
This updated classic text will aid readers in understanding much of the current literature on order statistics: a flourishing field of study that is essential for any practising statistician and a vital part of the training for students in statistics. Written in a simple style that requires no advanced mathematical or statistical background, the book introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment relations, bounds and approximations, order statistics in statistical inference and characterisation results, and basic asymptotic theory. There is also a short introduction to record values and related statistics. The authors have updated the text with suggestions for further reading that may be used for self-study. Written for advanced undergraduate and graduate students in statistics and mathematics, practising statisticians, engineers, climatologists, economists, and biologists.
Author | : Bhisham C. Gupta |
Publisher | : John Wiley & Sons |
Total Pages | : 896 |
Release | : 2013-04-29 |
Genre | : Mathematics |
ISBN | : 1118464044 |
Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.