A. Clifford Cohen
A01=Crow
advanced lognormal distribution methods
Author_Crow
biological data modeling
Brian Dennis
Category=PBT
censored data analysis
Charles E. Land
Confidence Interval Procedures
Cumulative Distribution Function
density
EB Estimator
Edwin L. Crow
environmental statistics
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
estimates
estimators
function
G. P. Patil
Geometric Standard Deviation
Gregory Campbell
Growth Ratios
James E. Mosimann
Jean-Michel M. Rendu
Kunio Shimizu
L. Crow Edwin
likelihood
LMLE
Log Price Relatives
Lognormal Distribution
Lognormal Kriging
Lognormal Model
Lognormal Probability Paper
Lognormal Random Variable
Lognormal Theory
maximum
Maximum Likelihood Estimators
model
Modified Moment Estimators
Monotone Likelihood Ratio
multivariate
Multivariate Lognormal Distribution
Negative Binomial
Negative Binomial Distribution
Noninformative Prior Distribution
parameter estimation
Poisson Lognormal Distribution
Positive Random Variables
Posterior Distribution
probability
probability modeling
Raymond J. Lawrence
reliability
Reliability Function
S. A. Shaban
Shape Vector
statistical inference
William J. Padgett
Product details
- ISBN 9780367580278
- Weight: 750g
- Dimensions: 152 x 229mm
- Publication Date: 30 Jun 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Presenting the first comprehensive review of the subject's theory and applications inmore than 15 years, this outstanding reference encompasses the most-up-to-date advances in lognormal distributions in thorough, detailed contributions by specialists in statistics, business and economics, industry, biology, ecology, geology, and meteorology. Lognormal Distributions describes the theory and methods of point and intervalestimation as well as the testing of hypotheses clearly and precisely from a modemviewpoint-not only for the basic two-parameter lognormal distribution but also for itsgeneralizations, including three parameters, truncated distributions, delta-lognormaldistributions, and two or more dimensions.Featuring over 600 references plus author and subject indexes, this volume rev iews thesubject's history .. . gives explicit formulas for minimum variance unbiased estimates ofparameters and their variances ... provides optimal tests of hypotheses and confidenceinterval procedures for various functions of the parameters in the two-parameter model. .. and discusses practical methods of analysis for truncated, censored, or groupedsamples.
Crow
