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170608s2013 xx a go 000 0 eng d |
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|a TANDF_296258
|b Ingram Content Group
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|a QA278.8 .K67 2014
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|a MAT
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|2 bisacsh
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|2 bicscc
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|a 519.5
|2 23
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|a UAMI
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100 |
1 |
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|a Korosteleva, Olga,
|e author
|u California State University, Long Beach, USA
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245 |
1 |
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|a Nonparametric Methods in Statistics with SAS Applications /
|c Olga Korosteleva.
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250 |
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|a 1st.
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264 |
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|b Chapman and Hall/CRC,
|c 2013.
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300 |
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|a 1 online resource (195 pages :
|b 68 illustrations).
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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347 |
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|a text file
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490 |
1 |
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|a Chapman & Hall/CRC texts in statistical science
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|a Hypotheses Testing for Two Samples; Sign Test for Location Parameter for Matched Paired Samples; Wilcoxon Signed-Rank Test for Location Parameter for Matched Paired Samples; Wilcoxon Rank-Sum Test for Location Parameter for Two Independent Samples; Ansari-Bradley Test for Scale Parameter for Two Independent Samples; Kolmogorov-Smirnov Test for Equality of Distributions Hypotheses Testing for Several Samples ; Friedman Rank Test for Location Parameter for Several Dependent Samples; Kruskal-Wallis H-Test for Location Parameter for Several Independent Samples; Tests for Categorical Data ; Spearman Rank Correlation Coefficient Test; Fisher Exact Test Nonparametric Regression ; Loess Regression; Thin-Plate Smoothing Spline Method Nonparametric Generalized Additive Regression ; Definition; Nonparametric Binary Logistic Model; Nonparametric Poisson Model Time-to-Event Analysis ; Kaplan-Meier Estimator of Survival Function; Log-Rank Test for Comparison of Two Survival Functions; Cox Proportional Hazards Model Univariate Probability Density Estimation ; Histogram; Kernel Density Estimator Resampling Methods for Interval Estimation ; Jackknife; Bootstrap Appendix A: Tables; Appendix B: Answers to Exercises Recommended Books Index of Notation Index Exercises appear at the end of each chapter.
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520 |
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|a Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods.
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504 |
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|a Includes bibliographical references and index.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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0 |
|a Nonparametric statistics.
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650 |
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0 |
|a Nonparametric statistics
|x Data processing.
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650 |
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0 |
|a SAS (Computer program language)
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650 |
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0 |
|a Nonparametric statistics-Data processing-Textbooks.
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650 |
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2 |
|a Statistics, Nonparametric
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650 |
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6 |
|a Statistique non paramétrique.
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650 |
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6 |
|a Statistique non paramétrique
|x Informatique.
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650 |
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6 |
|a SAS (Langage de programmation)
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650 |
|
7 |
|a MATHEMATICS / Applied.
|2 bisacsh
|
650 |
|
7 |
|a MATHEMATICS / Probability & Statistics / General.
|2 bisacsh
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650 |
|
7 |
|a Nonparametric statistics.
|2 fast
|0 (OCoLC)fst01038853
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650 |
|
7 |
|a Nonparametric statistics
|x Data processing.
|2 fast
|0 (OCoLC)fst01038856
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650 |
|
7 |
|a SAS (Computer program language)
|2 fast
|0 (OCoLC)fst01738546
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776 |
0 |
8 |
|i Print version:
|z 9781138469457
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830 |
|
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|a Chapman & Hall/CRC texts in statistical science.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781466580633/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
|