Rankings and Preferences - SpringerBriefs in Statistics
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9783662483435, 9783662483442

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The Weighted Rank Correlation Coefficient $$r_W$$

Rankings and Preferences - SpringerBriefs in Statistics ◽

10.1007/978-3-662-48344-2_2 ◽

2015 ◽

pp. 9-27

Author(s):

Joaquim Pinto da Costa

Keyword(s):

Correlation Coefficient ◽

Rank Correlation ◽

Weighted Rank

The Weighted Rank Correlation Coefficient $$r_{W2}$$

Rankings and Preferences - SpringerBriefs in Statistics ◽

10.1007/978-3-662-48344-2_3 ◽

2015 ◽

pp. 29-38

Author(s):

Joaquim Pinto da Costa

Keyword(s):

Correlation Coefficient ◽

Rank Correlation ◽

Weighted Rank

Introduction

Rankings and Preferences - SpringerBriefs in Statistics ◽

10.1007/978-3-662-48344-2_1 ◽

2015 ◽

pp. 1-7

Author(s):

Joaquim Pinto da Costa

Weighted Clustering of Time Series

Rankings and Preferences - SpringerBriefs in Statistics ◽

10.1007/978-3-662-48344-2_6 ◽

2015 ◽

pp. 69-73

Author(s):

Joaquim Pinto da Costa

Keyword(s):

Time Series ◽

Weighted Clustering

A Weighted Principal Component Analysis (WPCA2) for Time Series Data

Rankings and Preferences - SpringerBriefs in Statistics ◽

10.1007/978-3-662-48344-2_5 ◽

2015 ◽

pp. 55-67 ◽

Cited By ~ 1

Author(s):

Joaquim Pinto da Costa

Keyword(s):

Principal Component Analysis ◽

Time Series ◽

Time Series Data ◽

Principal Component ◽

Component Analysis ◽

Series Data ◽

Weighted Principal Component

A Weighted Principal Component Analysis, WPCA1; Application to Gene Expression Data

Rankings and Preferences - SpringerBriefs in Statistics ◽

10.1007/978-3-662-48344-2_4 ◽

2015 ◽

pp. 39-53

Author(s):

Joaquim Pinto da Costa

Keyword(s):

Gene Expression ◽

Principal Component Analysis ◽

Gene Expression Data ◽

Principal Component ◽

Component Analysis ◽

Expression Data ◽

Weighted Principal Component

Rankings and Preferences - SpringerBriefs in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

The Weighted Rank Correlation Coefficient $$r_W$$

The Weighted Rank Correlation Coefficient $$r_{W2}$$

Introduction

Weighted Clustering of Time Series

A Weighted Principal Component Analysis (WPCA2) for Time Series Data

A Weighted Principal Component Analysis, WPCA1; Application to Gene Expression Data

Rankings and Preferences - SpringerBriefs in Statistics
Latest Publications