The Birnbaum Saunders Distribution

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications. Introduces inference in the Birnbaum-Saunders distribution Provides a comprehensive review of the statistical theory and methodology of the Birnbaum-Distribution Discusses different applications of the Birnbaum-Saunders distribution Explains characterization and the lifetime analysis

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  • Author : Victor Leiva
  • Publisher : Academic Press
  • Pages : 154 pages
  • ISBN : 9780128037690
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKThe Birnbaum Saunders Distribution

The Birnbaum-Saunders Distribution

The Birnbaum-Saunders Distribution
  • Author : Victor Leiva
  • Publisher : Academic Press
  • Release : 01 October 2015
GET THIS BOOKThe Birnbaum-Saunders Distribution

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications. Introduces inference in

The Birnbaum-Saunders Distribution

The Birnbaum-Saunders Distribution
  • Author : Victor Leiva
  • Publisher : Academic Press
  • Release : 26 October 2015
GET THIS BOOKThe Birnbaum-Saunders Distribution

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications. Introduces inference in

Testing and Inspection Using Acceptance Sampling Plans

Testing and Inspection Using Acceptance Sampling Plans
  • Author : Muhammad Aslam,Mir Masoom Ali
  • Publisher : Springer
  • Release : 19 July 2019
GET THIS BOOKTesting and Inspection Using Acceptance Sampling Plans

This book introduces a number of new sampling plans, such as time truncated life tests, skip sampling plans, resubmitted plans, mixed sampling plans, sampling plans based on the process capability index and plans for big data, which can be used for testing and inspecting products, from the raw-materials stage to the final product, in every industry using statistical process control techniques. It also presents the statistical theory, methodology and applications of acceptance sampling from truncated life tests. Further, it discusses

Continuous Multivariate Distributions, Volume 1

Continuous Multivariate Distributions, Volume 1
  • Author : Samuel Kotz,Narayanaswamy Balakrishnan,Norman L. Johnson
  • Publisher : John Wiley & Sons
  • Release : 17 January 2019
GET THIS BOOKContinuous Multivariate Distributions, Volume 1

Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural

Statistical Quality Technologies

Statistical Quality Technologies
  • Author : Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai,Ding-Geng Chen
  • Publisher : Springer
  • Release : 09 August 2019
GET THIS BOOKStatistical Quality Technologies

This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field,

Computational and Methodological Statistics and Biostatistics

Computational and Methodological Statistics and Biostatistics
  • Author : Andriëtte Bekker,(Din) Ding-Geng Chen,Johannes T. Ferreira
  • Publisher : Springer Nature
  • Release : 10 August 2020
GET THIS BOOKComputational and Methodological Statistics and Biostatistics

In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes. Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a

The Gradient Test

The Gradient Test
  • Author : Artur Lemonte
  • Publisher : Academic Press
  • Release : 05 February 2016
GET THIS BOOKThe Gradient Test

The Gradient Test: Another Likelihood-Based Test presents the latest on the gradient test, a large-sample test that was introduced in statistics literature by George R. Terrell in 2002. The test has been studied by several authors, is simply computed, and can be an interesting alternative to the classical large-sample tests, namely, the likelihood ratio (LR), Wald (W), and Rao score (S) tests. Due to the large literature about the LR, W and S tests, the gradient test is not frequently used

Multivariate Statistics

Multivariate Statistics
  • Author : Tõnu Kollo
  • Publisher : World Scientific Publishing Company Incorporated
  • Release : 22 September 2021
GET THIS BOOKMultivariate Statistics

Preface; Organizing Committees; CONTENTS; Variable Selection and Post-Estimation of Regression Parameters Using Quasi-Likelihood Approach S. Fallahpour and S.E. Ahmed; 1. Introduction; 2. Improved Estimation and Variable Selection Strategies; 2.1. Pretest Estimations; 2.2. Absolute Penalty Estimator (APE); 3. Asymptotic Distribution Bias and Risk; 3.1. Bias and Risk Comparison; 4. Monte Carlo Simulation; 5. Conclusions; Acknowledgments; 6. Proofs; References; Maximum Likelihood Estimates for Markov-Additive Processes of Arrivals by Aggregated Data A.M. Andronov; 1. Introduction. - 2. Markov-Additive Process of arrivals3. Problem of parameter estimation; 4. Derivatives of the expectation; 4.1. Derivatives of with

The Inverse Gaussian Distribution

The Inverse Gaussian Distribution
  • Author : V. Seshadri
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKThe Inverse Gaussian Distribution

This book is written in the hope that it will serve as a companion volume to my first monograph. The first monograph was largely devoted to the probabilistic aspects of the inverse Gaussian law and therefore ignored the statistical issues and related data analyses. Ever since the appearance of the book by Chhikara and Folks, a considerable number of publications in both theory and applications of the inverse Gaussian law have emerged thereby justifying the need for a comprehensive treatment

Probability Distributions Used in Reliability Engineering

Probability Distributions Used in Reliability Engineering
  • Author : Andrew N O'Connor
  • Publisher : RIAC
  • Release : 01 January 2011
GET THIS BOOKProbability Distributions Used in Reliability Engineering

The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.

Progressive Censoring

Progressive Censoring
  • Author : N. Balakrishnan,Rita Aggarwala
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKProgressive Censoring

This new book offers a guide to the theory and methods of progressive censoring. In many industrial experiments involving lifetimes of machines or units, experiments have to be terminated early. Progressive Censoring first introduces progressive sampling foundations, and then discusses various properties of progressive samples. The book points out the greater efficiency gained by using this scheme instead of classical right-censoring methods.

Continuous Univariate Distributions, Volume 2

Continuous Univariate Distributions, Volume 2
  • Author : Norman L. Johnson,Samuel Kotz,N. Balakrishnan
  • Publisher : John Wiley & Sons
  • Release : 08 May 1995
GET THIS BOOKContinuous Univariate Distributions, Volume 2

Comprehensive reference for statistical distributions Continuous Univariate Distributions, Volume 2 provides in-depth reference for anyone who applies statistical distributions in fields including engineering, business, economics, and the sciences. Covering a range of distributions, both common and uncommon, this book includes guidance toward extreme value, logistics, Laplace, beta, rectangular, noncentral distributions and more. Each distribution is presented individually for ease of reference, with clear explanations of methods of inference, tolerance limits, applications, characterizations, and other important aspects, including reference to other related