Handbook of Exponential and Related Distributions for Engineers and Scientists
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A01=Chun Jin
A01=Nabendu Pal
A01=Wooi K. Lim
advanced probability theory
Author_Chun Jin
Author_Nabendu Pal
Author_Wooi K. Lim
Bayes Rule
bootstrap simulation
Category=JMB
Category=PB
Category=PS
Continuous Random Variable
Cumulative Distribution Function
Data Set
decision theory applications
Denominator Df
Distribution Functions
Distribution FX
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EV Distribution
Exponential Distribution
Gamma Distribution
goodness of fit testing
Iid Exp
Iid Random Variables
MLE
MSE
Nonnegative Random Variable
Probability Distribution
Random Variables
Rejection Region
Relative Frequency Histogram
reliability engineering
Sel
skewed distribution analysis in engineering
Standard Exponential Distribution
statistical modeling
Type Ii Error
Unbiased Estimator
Weibull Distribution
Δ1 Δ2 Δ3 Δ1 Δ2
Product details
- ISBN 9780367577964
- Weight: 690g
- Dimensions: 156 x 234mm
- Publication Date: 30 Jun 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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The normal distribution is widely known and used by scientists and engineers. However, there are many cases when the normal distribution is not appropriate, due to the data being skewed. Rather than leaving you to search through journal articles, advanced theoretical monographs, or introductory texts for alternative distributions, the Handbook of Exponential and Related Distributions for Engineers and Scientists provides a concise, carefully selected presentation of the properties and principles of selected distributions that are most useful for application in the sciences and engineering.
The book begins with all the basic mathematical and statistical background necessary to select the correct distribution to model real-world data sets. This includes inference, decision theory, and computational aspects including the popular Bootstrap method. The authors then examine four skewed distributions in detail: exponential, gamma, Weibull, and extreme value. For each one, they discuss general properties and applicability to example data sets, theoretical characterization, estimation of parameters and related inferences, and goodness of fit tests. The final chapter deals with system reliability for series and parallel systems.
Presenting methods based on statistical simulations and numerical computations, the Handbook of Exponential and Related Distributions for Engineers and Scientists supplies hands-on tools for applied researchers in need of practical tools for data analysis.
Nabendu Pal, Chun Jin, Wooi K. Lim
