Author: Sol WeintraubPublisher:
ISBN:
Category : Binomial distribution
Languages : en
Pages : 856
Book Description
Tables of the Cumulative Binomial Probability Distribution for Small Values of P
Author: Sol WeintraubPublisher:
ISBN:
Category : Binomial distribution
Languages : en
Pages : 856
Book Description
Tables of the Cumulative Binomial Probabilities
Author: United States. Army Materiel CommandPublisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 664
Book Description
A Survey of Tables of Probability Distributions
Author: Publisher: DIANE Publishing
ISBN: 9781422328156
Category :
Languages : en
Pages : 12
Book Description
Tables of Component Reliability for Binomial Redundancy Applications
Author: Darl D. BienPublisher:
ISBN:
Category : Redundancy (Engineering)
Languages : en
Pages : 116
Book Description
Component reliability tables for binomial redundancy applications with computer program.
Tables of the Cumulative Binomial Probability Distribution
Author: Harvard University. Computation LaboratoryPublisher:
ISBN:
Category : Probabilities
Languages : en
Pages : 574
Book Description
NASA Technical Note
Author: Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables
Author: Milton AbramowitzPublisher:
ISBN:
Category : Functions
Languages : en
Pages : 1078
Book Description
Applied Statistical Methods
Author: Irving W. BurrPublisher: Elsevier
ISBN: 1483277860
Category : Mathematics
Languages : en
Pages : 500
Book Description
Applied Statistical Methods covers the fundamental understanding of statistical methods necessary to deal with a wide variety of practical problems. This 14-chapter text presents the topics covered in a manner that stresses clarity of understanding, interpretation, and method of application. The introductory chapter illustrates the importance of statistical analysis. The next chapters introduce the methods of data summarization, including frequency distributions, cumulative frequency distributions, and measures of central tendency and variability. These topics are followed by discussions of the fundamental principles of probability, the concepts of sample spaces, outcomes, events, probability, independence of events, and the characterization of discrete and continuous random variables. Other chapters explore the distribution of several important statistics; statistical tests of hypotheses; point and interval estimation; and simple linear regression. The concluding chapters review the elements of single- and two-factor analysis of variance and the design of analysis of variance experiments. This book is intended primarily for advanced undergraduate and graduate students in the mathematical, physical, and engineering sciences, as well as in economics, business, and related areas. Researchers and line personnel in industry and government will find this book useful in self-study.
Author: 
Author: