Titlebook: Warranty Data Collection and Analysis; Wallace R. Blischke,M. Rezaul Karim,D. N. Prabhaka Book 2011 Springer-Verlag London Limited 2011 Co

Dri727

Additional Statistical Techniquesnclude parametric and nonparametric test for outliers; goodness-of-fit tests, including the Chi?Square, Kolmogoroff?Smirnov, and Anderson?Darling tests; tests for comparing means of two or more normal populations; basic linear regression and correlation analysis; estimation of functions of parameter

Acetaminophen

Vertebra

寬宏大量

Nonparametric Approach to the Analysis of 1-D Warranty Datahe distribution function, renewal function, mean cumulative function, etc., in the context of 1-D warranty data. The estimators depend on the data structures and scenarios discussed in . The chapter deals with the nonparametric approach to deriving estimators for the above quantities based on differ

永久

Parametric Approach to the Analysis of 1-D Warranty Dataensional warranty data are analyzed by a number of commonly used parametric models. The chapter uses the maximum likelihood method to estimate the parameters of the models and some functions of parameters that are of interest in warranty data analysis. The selected model for a given data scenario is

Ambiguous

一起平行

傻瓜

triptans

Analysis of 2-D Warranty Data. We discuss two data structures and four alternative scenarios. The latter depend on what data relevant to the 2-D warranty policy have been collected. For this policy, the unavailability of information on censored items leads to difficulties in estimation of the life distribution of the items. We

LIKEN

Analysis of 2-D Warranty Data. We discuss two data structures and four alternative scenarios. The latter depend on what data relevant to the 2-D warranty policy have been collected. For this policy, the unavailability of information on censored items leads to difficulties in estimation of the life distribution of the items. We