An introduction to nonparametric statistics

An introduction to nonparametric statistics

Kolassa, John Edward
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"This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students"--
Kategori:
Mathematics - Mathematical Statistics
Tahun:
2020
Edisi:
First edition
Penerbit:
CRC Press
Bahasa:
english
ISBN 10:
0429518226
ISBN 13:
9780429518225
Nama siri:
Chapman & Hall/CRC texts in statistical science
Fail:
PDF, 1.76 MB
IPFS:
CID , CID Blake2b
english, 2020
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sample
statistic
values
gaussian
rank
median
confidence
tests
observations
arsenic
variance
alternative
interval
function
statistics
bootstrap
regression
standard
scores
figure
multivariate
consider
density
parameter
estimate
sign
analysis
distributions
testing
θ̂
correlation
wilcoxon
quantile
sided
methods
θ0
probability
proc
approximately
variables
independent
nonparametric
random
permutation
estimator
yarn
groups
library
techniques
inference
intervals
calculations
cauchy
ranks
whitney
approximate
method
equal
expectation
kernel

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