Mathematical Nonparametric Statistics
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A01=Edward B. Manoukian
A01=Manoukian
advanced nonparametric statistical analysis
applied econometrics
asymptotic theory
Author_Edward B. Manoukian
Author_Manoukian
Category=PBT
Chi-Square test
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Helly-Bray theorem
hypothesis testing methods
k-sample problems
Kendall-Rao theorem
mathematical nonparametric statistics
one-sample problems
order statistics
probability distributions
randomization methods
resampling techniques
Slutsky's theorem
Slutsky’s theorem
statistical inference
two-sample problems
Product details
- ISBN 9782881240935
- Weight: 657g
- Dimensions: 152 x 229mm
- Publication Date: 10 Nov 1986
- Publisher: Gordon & Breach Science Publishers SA
- Publication City/Country: NL
- Product Form: Hardback
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First published in 1986. Primarily a reference text, Mathematical Nonparametric Statistics provides mathematicians and students with a systematic mathematical analysis and the fine points of nonparametrical statistical procedures and models used in practice. Divided into five sections and beginning with an extensive chapter on the fundamentals of mathematical statistical methods, its coverage of such topics as the Jackknife method, the Kolmogorov-Smirnov statistic, Box's method and the ch-squared test of fit is rigorous. Written for audiences with differing backgounds in mathematics, the book is of special use to those in the management sciences, industrial engineering, psychology and economics, as well as mathematics.
Edward B. Manoukian Department of National Defence, Royal Military College of Canada, Kingston, Ontario
