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04358namaa2201309ui 4500 |
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20221228154142.0 |
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DE-2553 |
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m o d |
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cr|mn|---annan |
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20210211s2019 xx |||||o ||| 0|eng d |
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|a books978-3-03897-937-1
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|a 9783038979364
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|a 9783038979371
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|a oapen
|c oapen
|b eng
|d DE-2553
|e rda
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| 024 |
7 |
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|a 10.3390/books978-3-03897-937-1
|c doi
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| 041 |
0 |
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|a eng
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| 042 |
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|a dc
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| 100 |
1 |
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|a Pardo, Leandro
|e author
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| 245 |
1 |
0 |
|a New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
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| 264 |
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|b MDPI - Multidisciplinary Digital Publishing Institute,
|c 2019.
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| 300 |
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|a 1 online resource (344 pages).
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 506 |
0 |
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|a Open Access
|2 star
|f Unrestricted online access
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| 540 |
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|a Creative Commons
|f https://creativecommons.org/licenses/by-nc-nd/4.0/
|2 cc
|4 https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 546 |
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|a English
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| 653 |
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|a n/a
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| 653 |
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|a mixture index of fit
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| 653 |
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|a Kullback-Leibler distance
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| 653 |
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|a relative error estimation
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| 653 |
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|a minimum divergence inference
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| 653 |
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|a Neyman Pearson test
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| 653 |
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|a influence function
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| 653 |
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|a consistency
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| 653 |
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|a thematic quality assessment
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| 653 |
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|a asymptotic normality
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| 653 |
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|a Hellinger distance
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| 653 |
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|a nonparametric test
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| 653 |
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|a Berstein von Mises theorem
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| 653 |
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|a maximum composite likelihood estimator
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| 653 |
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|a 2-alternating capacities
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| 653 |
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|a efficiency
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| 653 |
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|a corrupted data
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| 653 |
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|a statistical distance
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| 653 |
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|a robustness
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| 653 |
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|a log-linear models
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| 653 |
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|a representation formula
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| 653 |
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|a goodness-of-fit
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| 653 |
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|a general linear model
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| 653 |
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|a Wald-type test statistics
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| 653 |
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|a Hölder divergence
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| 653 |
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|a divergence
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|a logarithmic super divergence
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|a information geometry
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| 653 |
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|a sparse
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| 653 |
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|a robust estimation
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| 653 |
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|a relative entropy
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| 653 |
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|a minimum disparity methods
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| 653 |
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|a MM algorithm
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|a local-polynomial regression
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| 653 |
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|a association models
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|a total variation
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| 653 |
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|a Bayesian nonparametric
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| 653 |
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|a ordinal classification variables
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| 653 |
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|a Wald test statistic
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| 653 |
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|a Wald-type test
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| 653 |
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|a composite hypotheses
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| 653 |
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|a compressed data
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| 653 |
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|a hypothesis testing
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| 653 |
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|a Bayesian semi-parametric
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| 653 |
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|a single index model
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| 653 |
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|a indoor localization
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| 653 |
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|a composite minimum density power divergence estimator
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| 653 |
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|a quasi-likelihood
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| 653 |
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|a Chernoff Stein lemma
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| 653 |
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|a composite likelihood
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| 653 |
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|a asymptotic property
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| 653 |
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|a Bregman divergence
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| 653 |
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|a robust testing
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| 653 |
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|a misspecified hypothesis and alternative
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| 653 |
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|a least-favorable hypotheses
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| 653 |
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|a location-scale family
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| 653 |
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|a correlation models
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| 653 |
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|a minimum penalized ?-divergence estimator
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| 653 |
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|a non-quadratic distance
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| 653 |
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|a robust
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| 653 |
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|a semiparametric model
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| 653 |
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|a divergence based testing
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| 653 |
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|a measurement errors
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| 653 |
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|a bootstrap distribution estimator
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| 653 |
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|a generalized renyi entropy
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| 653 |
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|a minimum divergence methods
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| 653 |
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|a generalized linear model
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| 653 |
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|a ?-divergence
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| 653 |
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|a Bregman information
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| 653 |
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|a iterated limits
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| 653 |
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|a centroid
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| 653 |
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|a model assessment
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| 653 |
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|a divergence measure
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| 653 |
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|a model check
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| 653 |
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|a two-sample test
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| 653 |
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|a Wald statistic
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| 856 |
4 |
0 |
|a www.oapen.org
|u https://mdpi.com/books/pdfview/book/1298
|7 0
|z DOAB: download the publication
|
| 856 |
4 |
0 |
|a www.oapen.org
|u https://directory.doabooks.org/handle/20.500.12854/54566
|7 0
|z DOAB: description of the publication
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| 590 |
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|a Online publication
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| 590 |
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|a ebookoa1222
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| 590 |
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|a doab
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| 942 |
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|2 z
|c EB
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|c 3027655
|d 1431410
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|6 ONLINE
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|9 973294
|R 2022-12-28 14:41:42
|a DAIG
|b DAIG
|l 0
|o Online
|r 2022-12-28
|y EB
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