Main Category: Mathematics >> Sub Category: Probability & Statistics
Introduction to Probability - Probability Examples c-1

Introduction to Probability is one of the great eBooks available to download from our website. There are more than 500 Textbooks, Business Books & Travel Guides in our book collection.     

Author Name :Leif Mejlbro

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Sequential Stochastic Optimization

Presents a unified mathematical theory of optimal stopping and sequential control of stochastic processes along with several applications including sequential statistical tests involving several populations and multi-armed bandit problems. The material is accompanied by extensive problems, exercises and realistic examples which facilitate understanding. Contains a large amount of original information unavailable elsewhere. Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic optimization problems can be formulated and solved. Offering much material that is either new or has never before appeared in book form, it lucidly presents a unified theory of optimal stopping and optimal sequential control of stochastic processes. This book has been carefully organized so that little prior knowledge of the subject is assumed; its only prerequisites are a standard graduate course in probability theory and some familiarity with discrete-parameter martingales.     

Author Name :R. Cairoli, Robert C. Dalang

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Visualizing Statistical Models and Concepts

Examines classic algorithms, geometric diagrams, and mechanical principles for enhances visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming.     

Author Name :R.W. Farebrother

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Probability and Statistics for Engineers and Scientists (9th Edition)

This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of 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.     

Author Name :Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye

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Probability and Statistics for Engineering and the Sciences

This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, Probability and Statistics for Engineering and the Sciences emphasizes concepts, models, methodology, and applications that facilitate your understanding.     

Author Name :Jay L. Devore

No Of Visit :562      Posted Comments :

Reading Statistics and Research (6th Edition)

Employing a non-intimidating writing style that emphasizes concepts rather than formulas, this uniquely welcoming text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. Some key topics covered in this thoroughly revised text include: descriptive statistics, correlation, reliability and validity, estimation, h hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM). A number of mini-topics related to research and statistics are also discussed, such as the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test. Additionally, the sixth edition also includes over 488 new excerpts (tables, figures, passages of text) taken from current research reports. Written specifically for students in non-thesis Masters Programs but also perfectly suitable for students in upper-level undergraduate statistics courses, doctoral students who must conduct dissertation research, and independent researchers who want a better handle on how to decipher and critique statistically-based research reports.     

Author Name :Schuyler W. Huck

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Mathematical Statistics with Applications, 7 edition

In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research.     

Author Name :Dennis Wackerly, William Mendenhall III, Richard L. Scheaffer

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Probability and Statistics

Concepts from the fields of probability and statistics pervade our thinking--even those of us who believe in the existence of luck--and we routinely express ourselves using language borrowed from various branches of mathematics. News reports, weather reports, and even sports reports are some examples of the probabilistic and statistical thinking that seeps into our everyday lives. Probability and Statistics, Revised Edition deals with the history of probability, describing the modern concept of randomness and examining "pre-probabilistic" ideas of what most people today would characterize as randomness. This revised book documents some historically important early uses of probability to illustrate some very important probabilistic questions. It goes on to explore statistics and the generations of mathematicians and non-mathematicians who began to address problems in statistical analysis, including the statistical structure of data sets as well as the theory of sampling and the characterization of the nature of variation. The final chapter describes the role of statistics in the development, testing, licensure, and subsequent study of vaccines. A new chapter has been added that gives special attention to vaccines for measles, polio, pertussis, and rubella.     

Author Name :John, Ph.D. Tabak

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Mathematical Statistics and Data Analysis, 3 edition

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings.     

Author Name :John A. Rice

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Bayesian Models for Categorical Data

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes.     

Author Name :Professor Peter Congdon

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