Nonparametric Statistical Methods For Complete and Censored Data, Desu, M.M.

Автор: Cao
Название: Nonparametric Statistics
ISBN: 3319415816 ISBN-13(EAN): 9783319415819
Издательство: Springer
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Описание: This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in C?diz (Spain) between June 11–16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Statistics and Universidad Carlos III de Madrid.The 15 articles are a representative sample of the 336 contributed papers presented at the conference. They cover topics such as high-dimensional data modelling, inference for stochastic processes and for dependent data, nonparametric and goodness-of-fit testing, nonparametric curve estimation, object-oriented data analysis, and semiparametric inference.The aim of the ISNPS 2014 conference was to bring together recent advances and trends in several areas of nonparametric statistics in order to facilitate the exchange of research ideas, promote collaboration among researchers from around the globe, and contribute to the further development of the field.

Автор: Macfarland Thomas W., Yates Jan M.
Название: Introduction to Nonparametric Statistics for the Biological Sciences Using R
ISBN: 3319808567 ISBN-13(EAN): 9783319808567
Издательство: Springer
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Цена: 60550.00 T
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Описание: 1 Nonparametric Statistics for the Biological Sciences1.1 Purpose of This Lesson 1.2 Data Types 1.2.1 Nominal Data 1.2.2 Ordinal Data1.2.3 Interval Data and Ratio Data1.3 Graphical Presentation of Populations1.3.1 Samples that Exhibit Normal Distribution1.3.2 Samples that Fail to Exhibit Normal Distribution1.4 R and Nonparametric Analyses1.4.1 Precision of Scales: Ordinal v Interval1.4.2 Deviation from Normal Distribution1.4.3 Sample Size: Number of Subjects for Each Breakout Group1.5 Definition of Nonparametric Analysis1.6 Statistical Tests and Graphics Associated with Distribution Patterns1.7 Prepare to Exit, Save, and Later Retrieve This R Session
2 Sign Test2.1 Background on This Lesson2.1.1 Description of the Data2.1.2 Null Hypothesis (Ho)2.2 Data Import of a .csv Spreadsheet-Type Data File into R2.3 Organize the Data and Display the Code Book2.4 Conduct a Visual Data Check2.5 Descriptive Analysis of the Data2.6 Conduct the Statistical Analysis2.7 Summary 2.8 Prepare to Exit, Save, and Later Retrieve This R Session
3 Chi-Square3.1 Background on This Lesson3.1.1 Description of the Data3.1.2 Null Hypothesis (Ho)3.2 Data Import of a .csv Spreadsheet-Type Data File into R3.3 Organize the Data and Display the Code Book3.4 Conduct a Visual Data Check3.5 Descriptive Analysis of the Data3.6 Conduct the Statistical Analysis3.7 Summary3.8 Addendum: Calculate the Chi-Square Statistic from Contingency Tables3.9 Prepare to Exit, Save, and Later Retrieve This R Session
4 Mann-Whitney U Test4.1 Background on This Lesson4.1.1 Description of the Data4.1.2 Null Hypothesis (Ho)4.2 Data Import of a .csv Spreadsheet-Type Data File into R4.3 Organize the Data and Display the Code Book4.4 Conduct a Visual Data Check4.5 Descriptive Analysis of the Data4.6 Conduct the Statistical Analysis4.7 Summary4.8 Addendum: Stacked Data v Unstacked Data4.9 Prepare to Exit, Save, and Later Retrieve This R Session
5 Wilcoxon Matched-Pairs Signed-Ranks Test5.1 Background on This Lesson5.1.1 Description of the Data5.1.2 Null Hypothesis (Ho)5.2 Data Import of a .csv Spreadsheet-Type Data File into R5.3 Organize the Data and Display the Code Book5.4 Conduct a Visual Data Check5.5 Descriptive Analysis of the Data5.6 Conduct the Statistical Analysis5.7 SummaryTest5.9 Addendum 2: Similar Functions from Different Packages5.10 Addendum 3: Nonparamteric v Parametric Confirmation of Outcomes5.11 Prepare to Exit, Save, and Later Retrieve This R Session
6 Kruskal-Wallis H-Test for Oneway Analysis of Variance (ANOVA) by Ranks6.1 Background on This Lesson6.1.1 Description of the Data6.1.2 Null Hypothesis (Ho)6.2 Data Import of a .csv Spreadsheet-Type Data File into R6.3 Organize the Data and Display the Code Book6.4 Conduct a Visual Data Check6.5 Descriptive Analysis of the Data6.6 Conduct the Statistical Analysis6.7 Summary6.8 Addendum: Comparison of Kruskal-Wallis Test Differences by Breakout Group6.9 Prepare to Exit, Save, and Later Retrieve This R Session
7 Friedman Two Way A

Автор: Chen, Ding-Geng (Din)
Название: Interval-Censored Time-to-Event Data
ISBN: 0367576759 ISBN-13(EAN): 9780367576752
Издательство: Taylor&Francis
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Цена: 48990.00 T
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