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

No Of Visit :560      Posted Comments :

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 :558      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

No Of Visit :490      Posted Comments :

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

No Of Visit :503      Posted Comments :

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

No Of Visit :482      Posted Comments :

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

No Of Visit :484      Posted Comments :

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

No Of Visit :491      Posted Comments :

Statistics at Square Two

Statistical methods used in the medical literature are becoming increasingly complex, but the software available to apply these methods is becoming easier to use. The result is that consumers of the literature now have to grasp sophisticated methods which may be inappropriately applied.This book, which goes beyond the basics of Statistics at Square One, reviews the most commonly used modern statistical methods and highlights common misunderstandings. It is easy to read, with annotated computer outputs and a minimum of formulas.     

Author Name :M. J. Campbell

No Of Visit :474      Posted Comments :

Elementary Statistics Tables

These tables have been carefully prepared for the many users of statistical analysis at an introductory level. The enthusiastic reception accorded to the author's Statistics Tables (George Allen & Unwin, 1978) by specialist statisticians highlighted the need for a briefer set of tables to be tailored to the requirements of students who have to use statistical analysis but with no greater commitment to it than is represented by a basic and often brief introductory course. Both the coverage and the presentation of this set of tables have been determined with great care. In contrast with competing sets at this level, the content should match closely the requirements of users, who have little mathematical background. The book is a positive teaching and learning aid, not just a stark and impenetrable reference item. Most of the tables are accompanied by fully explanatory introductory text and by some examples of use. Each table has been designed and laid out carefully for maximum clarity and ease of use, features which the large page size should also reinforce. There are many new or improved tables, some being much more extensive than in competing books. In view of the increasing recognition of nonparametric tests for their convenience, ease of use and wide application, the tables covering these tests should provie especially valuable. These tables should serve the needs of all users of elementary techniques of statistical analysis, from engineers and technicians to geographers and social scientists. All students taking first courses in statistical analysis will find them an invaluable aid.     

Author Name :Henry R. Neave

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Elementary Statistics

ELEMENTARY STATISTICS: A STEP BY STEP APPROACH is for introductory statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. In recent editions, Al Bluman has placed more emphasis on conceptual understanding and understanding results, along with increased focus on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses.The 8th edition of Bluman provides a significant leap forward in terms of online course management with McGraw-Hills new homework platform, Connect Statistics Hosted by ALEKS. Statistic instructors served as digital contributors to choose the problems that will be available, authoring each algorithm and providing stepped out solutions that go into great detail and are focused on areas where students commonly make mistakes. From there, the ALEKS Corporation reviewed each algorithm to ensure accuracy. The result is an online homework platform that provides superior content and feedback, allowing students to effectively learn the material being taught.     

Author Name :Allan G. Bluman

No Of Visit :472      Posted Comments :

100 Statistical Tests 3rd edition

This expanded and updated Third Edition of Gopal Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test's purpose, and contains details of the test objective, the limitations (or assumptions) involved, a brief outline of the method, a worked example and the numerical calculation. This new edition also includes: " A brand new introduction to statistical testing with information to guide the reader through the book so that even non-statistics students can find information quickly and easily " Real-world explanations of how and when to use each test with examples drawn from wide range of disciplines. " A useful Classification of Tests table " All the relevant statistical tables for checking critical values 100 Statistical Tests: Third Edition is the one indispensable guide for users of statistical materials and consumers of statistical information at all levels and across all disciplines.     

Author Name :Gopal K. Kanji

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Exploring Research Frontiers in Contemporary Statistics and Econometrics

This book collects contributions written by well-known statisticians and econometricians to acknowledge Leopold Simars far-reaching scientific impact on Statistics and Econometrics throughout his career. The papers contained herein were presented at a conference in Louvain-la-Neuve in May 2009 in honor of his retirement. The contributions cover a broad variety of issues surrounding frontier estimation, which Leopold Simar has contributed much to over the past two decades, as well as related issues such as semiparametric regression and models for censored data.     

Author Name :Lopold Simar

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