Statistical Inferences on Odd Frechet Power Function Distribution

Statistical Inferences on Odd Frechet Power Function Distribution PDF Author: Muhammad Ahsan ul Haq
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 32

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Book Description
This article introduces a new unit distribution namely odd Frechet power (OFrPF) distribution. Numerous properties of the proposed model including reliability analysis, moments, and Renyi Entropy for the proposed distribution. The parameters of the OFrPF distribution are obtained using different approaches such as maximum likelihood, least squares, weighted least squares, percentile, Cramer-von Mises, Anderson-Darling.

Statistical Inferences on Odd Frechet Power Function Distribution

Statistical Inferences on Odd Frechet Power Function Distribution PDF Author: Muhammad Ahsan ul Haq
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 32

Get Book Here

Book Description
This article introduces a new unit distribution namely odd Frechet power (OFrPF) distribution. Numerous properties of the proposed model including reliability analysis, moments, and Renyi Entropy for the proposed distribution. The parameters of the OFrPF distribution are obtained using different approaches such as maximum likelihood, least squares, weighted least squares, percentile, Cramer-von Mises, Anderson-Darling.

Statistical Inference Based on Kernel Distribution Function Estimators

Statistical Inference Based on Kernel Distribution Function Estimators PDF Author: Rizky Reza Fauzi
Publisher: Springer Nature
ISBN: 9819918626
Category : Mathematics
Languages : en
Pages : 103

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Book Description
This book presents a study of statistical inferences based on the kernel-type estimators of distribution functions. The inferences involve matters such as quantile estimation, nonparametric tests, and mean residual life expectation, to name just some. Convergence rates for the kernel estimators of density functions are slower than ordinary parametric estimators, which have root-n consistency. If the appropriate kernel function is used, the kernel estimators of the distribution functions recover the root-n consistency, and the inferences based on kernel distribution estimators have root-n consistency. Further, the kernel-type estimator produces smooth estimation results. The estimators based on the empirical distribution function have discrete distribution, and the normal approximation cannot be improved—that is, the validity of the Edgeworth expansion cannot be proved. If the support of the population density function is bounded, there is a boundary problem, namely the estimator does not have consistency near the boundary. The book also contains a study of the mean squared errors of the estimators and the Edgeworth expansion for quantile estimators.

Probability Theory and Statistical Inference

Probability Theory and Statistical Inference PDF Author: Aris Spanos
Publisher: Cambridge University Press
ISBN: 1107185149
Category : Business & Economics
Languages : en
Pages : 787

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Book Description
This empirical research methods course enables informed implementation of statistical procedures, giving rise to trustworthy evidence.

Extreme Value Distributions

Extreme Value Distributions PDF Author: Samuel Kotz
Publisher: World Scientific
ISBN: 1860944027
Category : Mathematics
Languages : en
Pages : 195

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Book Description
This important book provides an up-to-date comprehensive and down-to-earth survey of the theory and practice of extreme value distributions OCo one of the most prominent success stories of modern applied probability and statistics. Originated by E J Gumbel in the early forties as a tool for predicting floods, extreme value distributions evolved during the last 50 years into a coherent theory with applications in practically all fields of human endeavor where maximal or minimal values (the so-called extremes) are of relevance. The book is of usefulness both for a beginner with a limited probabilistic background and to expert in the field. Sample Chapter(s). Chapter 1.1: Historical Survey (139 KB). Chapter 1.2: The Three Types of Extreme Value Distributions (146 KB). Chapter 1.3: Limiting Distributions and Domain of Attraction (210 KB). Chapter 1.4: Distribution Function and Moments of Type 1 Distribution (160 KB). Chapter 1.5: Order Statistics, Record Values and Characterizations (175 KB). Contents: Univariate Extreme Value Distributions; Generalized Extreme Value Distributions; Multivariate Extreme Value Distributions. Readership: Applied probabilists, applied statisticians, environmental scientists, climatologists, industrial engineers and management experts."

Introduction to Probability and Statistics Using R

Introduction to Probability and Statistics Using R PDF Author: G. Jay Kerns
Publisher: Lulu.com
ISBN: 0557249791
Category : Education
Languages : en
Pages : 388

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Book Description
This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.

Optimal Decision Making in Operations Research and Statistics

Optimal Decision Making in Operations Research and Statistics PDF Author: Irfan Ali
Publisher: CRC Press
ISBN: 1000404722
Category : Business & Economics
Languages : en
Pages : 434

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Book Description
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision­making problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.

Stochastic Orders

Stochastic Orders PDF Author: Moshe Shaked
Publisher: Springer Science & Business Media
ISBN: 0387346759
Category : Mathematics
Languages : en
Pages : 482

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Book Description
This reference text presents comprehensive coverage of the various notions of stochastic orderings, their closure properties, and their applications. Some of these orderings are routinely used in many applications in economics, finance, insurance, management science, operations research, statistics, and various other fields. And the value of the other notions of stochastic orderings needs further exploration. This book is an ideal reference for those interested in decision making under uncertainty and interested in the analysis of complex stochastic systems. It is suitable as a text for advanced graduate course on stochastic ordering and applications.

Foundations of Statistical Inference

Foundations of Statistical Inference PDF Author: Yoel Haitovsky
Publisher: Springer Science & Business Media
ISBN: 9783790800470
Category : Business & Economics
Languages : en
Pages : 252

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Book Description
This volume is a compressed survey containing recent results on statistics of stochastic processes and on identification with incomplete observations. It comprises a collection of papers presented at the Shoresh Conference 2000 on the Foundation of Statistical Inference. The papers cover the following areas with high research activity: - Identification with Incomplete Observations, Data Mining, - Bayesian Methods and Modelling, - Testing, Goodness of Fit and Randomness, - Statistics of Stationary Processes.

Progressive Censoring

Progressive Censoring PDF Author: N. Balakrishnan
Publisher: Springer Science & Business Media
ISBN: 1461213347
Category : Mathematics
Languages : en
Pages : 255

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Book Description
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.

The Birnbaum-Saunders Distribution

The Birnbaum-Saunders Distribution PDF Author: Victor Leiva
Publisher: Academic Press
ISBN: 0128038276
Category : Mathematics
Languages : en
Pages : 156

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Book Description
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