Elements of Probability and Statistics

Elements of Probability and Statistics PDF

Author: Francesca Biagini

Publisher: Springer

Published: 2016-01-22

Total Pages: 246

ISBN-13: 3319072544

DOWNLOAD EBOOK →

This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers directly related to their interpretation in applications. Events become a particular case of random numbers and probability a particular case of expectation when it is applied to events. The subjective evaluation of expectation and of conditional expectation is based on an economic choice of an acceptable bet or penalty. The properties of expectation and conditional expectation are derived by applying a coherence criterion that the evaluation has to follow. The book is suitable for all introductory courses in probability and statistics for students in Mathematics, Informatics, Engineering, and Physics.

Elements of Engineering Probability and Statistics

Elements of Engineering Probability and Statistics PDF

Author: Rodger E. Ziemer

Publisher: Pearson

Published: 1997

Total Pages: 344

ISBN-13:

DOWNLOAD EBOOK →

Responding to the needs of graduate engineers and ABET criteria, this volume illustrates the essentials of both probability and statistics through computer exercises. It features a wealth of computer exercises that provide experimental verification of probabilistic phenomena and a means for calculating and displaying complex results.

Probability and Statistics

Probability and Statistics PDF

Author: Michael J. Evans

Publisher: Macmillan

Published: 2004

Total Pages: 704

ISBN-13: 9780716747420

DOWNLOAD EBOOK →

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.

Elements of Statistics

Elements of Statistics PDF

Author: Donald R. Byrkit

Publisher: Van Nostrand Reinhold Company

Published: 1980

Total Pages: 504

ISBN-13:

DOWNLOAD EBOOK →

Organization and presentation of data; Measures of location and dispersion; Probability; Probability distributions; The binomial distribution; The normal distribution; Estimation of parameters; Hypothesis testing; The chi-square distribution; Analysis of variance; Correlation and regression; Nonparametric tests; Mathematical review.

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics PDF

Author: F.M. Dekking

Publisher: Springer Science & Business Media

Published: 2006-03-30

Total Pages: 485

ISBN-13: 1846281687

DOWNLOAD EBOOK →

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