Author: Milind B. BhattPublisher: Lulu.com
ISBN: 1329392752
Category :
Languages : en
Pages : 110
Book Description
STATISTICAL INFERENCE FOR NON REGULAR FAMILY OF DISTRIBUTIONS (UNIFIED THEORY)
Author: Milind B. BhattPublisher: Lulu.com
ISBN: 1329392752
Category :
Languages : en
Pages : 110
Book Description
Nonparametric Inference
Author: Zakkula GovindarajuluPublisher: World Scientific
ISBN: 981447701X
Category : Mathematics
Languages : en
Pages : 692
Book Description
This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area.With the exception of some sections requiring familiarity with measure theory, readers with an advanced calculus background will be comfortable with the material.
Statistical Inferences on Odd Frechet Power Function Distribution
Author: Muhammad Ahsan ul HaqPublisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 32
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.
Notes on Non-parametric Statistical Inference
Author: Edwin J. G. PitmanPublisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 176
Book Description
A Contribution to the Theory of Non-parametric Statistical Inference
Author: Samuel D. SilveyIn All Likelihood
Author: Yudi PawitanPublisher: Oxford University Press
ISBN: 9780198507659
Category : Business & Economics
Languages : en
Pages : 552
Book Description
This text concentrates on what can be achieved using the likelihood/Fisherian methods of taking into account uncertainty when studying a statistical problem. It takes the concept of the likelihood as the best method for unifying the demands of statistical modeling and theory of inference. Every likelihood concept is illustrated with realistic examples ranging from a simple comparison of two accident rates to complex studies that require generalized linear or semiparametric modeling. The emphasis is on likelihood not as just a device used to produce an estimate, but as an important tool for modeling.
Nonparametric Statistical Inference
Author: Boris Vladimirovich GnedenkoPublisher: North Holland
ISBN:
Category : Mathematics
Languages : en
Pages : 472
Book Description
Handbook of Statistical Distributions with Applications
Author: K. KrishnamoorthyPublisher: CRC Press
ISBN: 1420011375
Category : Mathematics
Languages : en
Pages : 371
Book Description
In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfully, practitioners and researchers must have a thorough understanding of the theory as well as a
An Outline of a One Semester Course on Distribution-free Statistical Inference
Author: Ronald PykePublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 254
Book Description
Statistical Inference for a Normal Distribution with Variance as a Multiple of Its Mean
Author: Debanjan BhattacharjeePublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description