Weibull Distribution

Regular price €291.40
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Horst Rinne
advanced statistical inference methods
Asymptotic Relative Efficiency
Asymptotic Variance Covariance Matrix
Author_Horst Rinne
Bayesian estimation
Category=PBT
CCDF
confidence
Cumulative Distribution Function
Distribution Function
EDF Statistic
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
exponential
Extended WEIBULL Distribution
goodness of fit testing
Hazard Rate
Hazard Rate Average
IDD
interval
Inverse WEIBULL Distribution
life data analysis
location
log
Log WEIBULL Distribution
MDE
parameter
Pivotal Quantities
Planned Life Test
Plaster Of Paris
Posterior Distribution
Raw Moments
reliability engineering
sample
scale
shape
Shape Parameter
statistical modeling
survival analysis
Type Ii Censor
uncensored
Uncensored Sample
WEIBULL Distribution
WEIBULL Probability Plot
WEIBULL Process
WEIBULL Variable

Product details

  • ISBN 9781420087437
  • Weight: 1560g
  • Dimensions: 178 x 254mm
  • Publication Date: 20 Nov 2008
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

The Most Comprehensive Book on the Subject

Chronicles the Development of the Weibull Distribution in Statistical Theory and Applied Statistics
Exploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions. The book also presents various approaches to estimate the parameters of the Weibull distribution under all possible situations of sampling data as well as approaches to parameter and goodness-of-fit testing.

Describes the Statistical Methods, Concepts, Theories, and Applications of This DistributionCompiling findings from dozens of scientific journals and hundreds of research papers, the author first gives a careful and thorough mathematical description of the Weibull distribution and all of its features. He then deals with Weibull analysis, using classical and Bayesian approaches along with graphical and linear maximum likelihood techniques to estimate the three Weibull parameters. The author also explores the inference of Weibull processes, Weibull parameter testing, and different types of goodness-of-fit tests and methods.

Successfully Apply the Weibull ModelBy using inferential procedures for estimating, testing, forecasting, and simulating data, this self-contained, detailed handbook shows how to solve statistical life science and engineering problems.

Horst Rinne

More from this author