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on1243552557 |
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OCoLC |
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20240909213021.0 |
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210327s2021 xx o ||| 0 eng d |
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|a EBLCP
|b eng
|c EBLCP
|d EBLCP
|d OCLCQ
|d OCLCL
|d REDDC
|d OCLCO
|d U3W
|d K6U
|d UEJ
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|c (S
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|a 9781119041962
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|a 1119041961
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|a (OCoLC)1243552557
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|a QA278.5
|b .B44 2021
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Beh, Eric J.
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| 245 |
1 |
3 |
|a An Introduction to Correspondence Analysis
|h [electronic resource].
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| 260 |
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|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2021.
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| 300 |
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|a 1 online resource (243 p.).
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| 490 |
1 |
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|a Wiley Series in Probability and Statistics Ser.
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| 500 |
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|a Description based upon print version of record.
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| 505 |
0 |
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|a Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Introduction -- 1.1 Data Visualisation -- 1.2 Correspondence Analysis in a "Nutshell" -- 1.3 Data Sets -- 1.3.1 Traditional European Food Data -- 1.3.2 Temperature Data -- 1.3.3 Shoplifting Data -- 1.3.4 Alligator Data -- 1.4 Symmetrical Versus Asymmetrical Association -- 1.5 Notation -- 1.5.1 The Two-way Contingency Table -- 1.5.2 The Three-way Contingency Table -- 1.6 Formal Test of Symmetrical Association -- 1.6.1 Test of Independence for Two-way Contingency Tables -- 1.6.2 The Chi-squared Statistic for a Two-way Table
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8 |
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|a 1.6.3 Analysis of the Traditional European Food Data -- 1.6.4 The Chi-squared Statistic for a Three-way Table -- 1.6.5 Analysis of the Alligator Data -- 1.7 Formal Test of Asymmetrical Association -- 1.7.1 Test of Predictability for Two-way Contingency Tables -- 1.7.2 The Goodman-Kruskal tau Index -- 1.7.3 Analysis of the Traditional European Food Data -- 1.7.4 Test of Predictability for Three-way Contingency Tables -- 1.7.5 Marcotorchino's Index -- 1.7.6 Analysis of the Alligator Data -- 1.7.7 The Gray-Williams Index and Delta Index -- 1.8 Correspondence Analysis and R
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|a 2.4.3 GSVD and the Traditional European Food Data -- 2.5 Constructing a Low-Dimensional Display -- 2.5.1 Standard Coordinates -- 2.5.2 Principal Coordinates -- 2.6 Practicalities of the Low-Dimensional Plot -- 2.6.1 The Two-Dimensional Correspondence Plot -- 2.6.2 What is NOT Being Shown in a Two-Dimensional Correspondence Plot? -- 2.6.3 The Three-Dimensional Correspondence Plot -- 2.7 The Biplot Display -- 2.7.1 Definition -- 2.7.2 Isometric Biplots of the Traditional European Food Data -- 2.7.3 What is NOT Being Shown in a Two-Dimensional Biplot? -- 2.8 The Case for No Visual Display
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| 500 |
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|a 3.2.4 Profiles of the Traditional European Food Data.
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| 650 |
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0 |
|a Correspondence analysis (Statistics)
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| 700 |
1 |
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|a Lombardo, Rosaria.
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| 758 |
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|i has work:
|a An introduction to correspondence analysis (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFqmvY4xk3DrDc67JyjJym
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Beh, Eric J.
|t An Introduction to Correspondence Analysis
|d Newark : John Wiley & Sons, Incorporated,c2021
|z 9781119041948
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| 830 |
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0 |
|a Wiley Series in Probability and Statistics Ser.
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=6524945
|y Click for online access
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| 880 |
8 |
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|6 505-00
|a 1.9 Overview of the Book -- Part I Classical Analysis of Two Categorical Variables -- Chapter 2 Simple Correspondence Analysis -- 2.1 Introduction -- 2.2 Reducing Multi-dimensional Space -- 2.2.1 Profiles Cloud of Points -- 2.2.2 Profiles for the Traditional European Food Data -- 2.2.3 Weighted Centred Profiles -- 2.3 Measuring Symmetric Association -- 2.3.1 The Pearson Ratio -- 2.3.2 Analysis of the Traditional European Food Data -- 2.4 Decomposing the Pearson Residual for Nominal Variables -- 2.4.1 The Generalised SVD of γij−1 -- 2.4.2 SVD of the Pearson Ratio's
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| 880 |
8 |
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|6 505-00
|a 2.9 Detecting Statistically Significant Points -- 2.9.1 Confidence Circles and Ellipses -- 2.9.2 Confidence Ellipses for the Traditional European Food Data -- 2.10 Approximate p-values -- 2.10.1 The Hypothesis Test and its p-value -- 2.10.2 P-values and the Traditional European Food Data -- 2.11 Final Comments -- Chapter 3 Non-Symmetrical Correspondence Analysis -- 3.1 Introduction -- 3.2 Quantifying Asymmetric Association -- 3.2.1 The Goodman-Kruskal tau Index -- 3.2.2 The τ Index and the Traditional European Food Data -- 3.2.3 Weighted Centred Column Profile
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| 903 |
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|a EBC-AC
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| 994 |
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|a 92
|b HCD
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