Fitting Statistical Distributions
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€235.60
A01=Edward J. Dudewicz
A01=Zaven A. Karian
advanced statistical methods
Author_Edward J. Dudewicz
Author_Zaven A. Karian
Bivariate Datasets
Bivariate Distributions
Bivariate Exponential
Bivariate Uniform Distribution
bootstrap
Bootstrap Method
Bootstrap Methods States
BVG
BVN
Category=GPH
Category=PBT
Category=PBW
continuous distributions
Contour Graphs
data fitting techniques
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
FGM.
Fitted Distribution
GB
GB Method
generalized
Generalized Lambda Distribution
generation
GMAT Score
lambda
MC
method
Monte Carlo simulation
Mri Dataset
percentile
Percentile Method
probability modeling
programming
random
Random Variate Generation
sample
statistical distribution fitting for research
statistical inference
Univariate Fits
variate
Product details
- ISBN 9781584880691
- Weight: 1000g
- Dimensions: 156 x 234mm
- Publication Date: 24 May 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas, tables, diagrams, and general properties-continue to create problems. For a specific application, which of the dozens of distributions should one use? What if none of them fit well?
Fitting Statistical Distributions helps answer those questions. Focusing on techniques used successfully across many fields, the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD), the Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do not exist.
Regardless of your specific field-physical science, social science, or statistics, practitioner or theorist-Fitting Statistical Distributions is required reading. It includes wide-ranging applications illustrating the methods in practice and offers proofs of key results for those involved in theoretical development. Without it, you may be using obsolete methods, wasting time, and risking incorrect results.
Karian, Zaven A.; Dudewicz, Edward J.
