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1.

電子ブック
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1. Statistical Methods for Ranking Data
by Mayer Alvo, Philip L.H. Yu
出版情報: New York, NY : Springer New York : Imprint: Springer, 2014
シリーズ名: Frontiers in Probability and the Statistical Sciences ;
オンライン: http://dx.doi.org/10.1007/978-1-4939-1471-5
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目次情報: 続きを見る
Introduction
Exploratory Analysis of Ranking Data
Correlation Analysis of Paired Ranking Data
Testing for randomness, agreement and interaction
Block Designs
General Theory of Hypothesis Testing
Testing for Ordered Alternatives
Probability Models for Ranking Data
Probit Models for Ranking Data
Decision Tree Models for Ranking Data
Extension of Distance-Based Models for Ranking Data
Appendix A: Ranking Data Sets
Appendix B: Limit Theorems
Appendix C: Review on Decision Trees
Introduction
Exploratory Analysis of Ranking Data
Correlation Analysis of Paired Ranking Data
2.

電子ブック
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2. Statistical Inference and Machine Learning for Big Data. 1st ed. 2022
by Mayer Alvo
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Series in the Data Sciences ;
オンライン: https://doi.org/10.1007/978-3-031-06784-6
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I. Introduction to Big Data
Examples of Big Data
II. Statistical Inference for Big Data
Basic Concepts in Probability
Basic Concepts in Statistics
Multivariate Methods
Nonparametric Statistics
Exponential Tilting and its Applications
Counting Data Analysis
Time Series Methods
Estimating Equations
Symbolic Data Analysis
III Machine Learning for Big Data
Tools for Machine Learning
Neural Networks
IV Computational Methods for Statistical Inference
Bayesian Computation Methods
I. Introduction to Big Data
Examples of Big Data
II. Statistical Inference for Big Data