Autore	Huberty Carl J. <1934->
Edizione	[2nd ed.]
Pubbl/distr/stampa	Hoboken, N.J., : Wiley-Interscience, c2006
Descrizione fisica	1 online resource (524 p.)
Disciplina	519.535
Altri autori (Persone)	OlejnikStephen HubertyCarl J. <1934->
Collana	Wiley series in probability and statistics
Soggetto topico	Discriminant analysis Multivariate analysis
Soggetto genere / forma	Electronic books.
ISBN	1-280-82320-8 9786610823208 0-471-78947-X 0-471-78946-1
Classificazione	31.73 83.03
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Applied MANOVA and Discriminant Analysis; Brief Contents; Contents; List of Figures; List of Tables; Preface to Second Edition; Acknowledgments; Preface to First Edition; Notation; I INTRODUCTION; 1 Discriminant Analysis in Research; 1.1 A Little History; 1.2 Overview; 1.3 Descriptive Discriminant Analysis; 1.4 Predictive Discriminant Analysis; 1.5 Design in Discriminant Analysis; 1.5.1 Grouping Variables; 1.5.2 Response Variables; Exercises; 2 Preliminaries; 2.1 Introduction; 2.2 Research Context; 2.3 Data, Analysis Units, Variables, and Constructs; 2.4 Summarizing Data 2.5 Matrix Operations2.5.1 SSCP Matrix; 2.5.2 Determinant; 2.5.3 Inverse; 2.5.4 Eigenanalysis; 2.6 Distance; 2.7 Linear Composite; 2.8 Probability; 2.9 Statistical Testing; 2.10 Judgment in Data Analysis; 2.11 Summary; Further Reading; Exercises; II ONE-FACTOR MANOVA/DDA; 3 Group Separation; 3.1 Introduction; 3.2 Two-Group Analyses; 3.2.1 Univariate Analysis; 3.2.2 Multivariate Analysis; 3.3 Test for Covariance Matrix Equality; 3.4 Yao Test; 3.5 Multiple-Group Analyses-Single Factor; 3.5.1 Univariate Analysis; 3.5.2 Multivariate Analysis; 3.6 Computer Application; 3.7 Summary; Exercises 4 Assessing MANOVA Effects4.1 Introduction; 4.2 Strength of Association; 4.2.1 Univariate; 4.2.2 Multivariate; 4.2.3 Bias; 4.3 Computer Application I; 4.4 Group Contrasts; 4.4.1 Univariate; 4.4.2 Multivariate; 4.5 Computer Application II; 4.6 Covariance Matrix Heterogeneity; 4.7 Sample Size; 4.8 Summary; Technical Notes; Exercises; 5 Describing MANOVA Effects; 5.1 Introduction; 5.2 Omnibus Effects; 5.2.1 An Eigenanalysis; 5.2.2 Linear Discriminant Functions; 5.3 Computer Application I; 5.4 Standardized LDF Weights; 5.5 LDF Space Dimension; 5.5.1 Statistical Tests; 5.5.2 Proportion of Variance 5.5.3 LDF Plots5.6 Computer Application II; 5.7 Computer Application III; 5.8 Contrast Effects; 5.9 Computer Application IV; 5.10 Summary; Technical Note; Further Reading; Exercises; 6 Deleting and Ordering Variables; 6.1 Introduction; 6.2 Variable Deletion; 6.2.1 Purposes of Deletion; 6.2.2 McCabe Analysis; 6.2.3 Computer Application; 6.3 Variable Ordering; 6.3.1 Meaning of Importance; 6.3.2 Computer Application I; 6.3.3 Variable Ranking; 6.4 Contrast Analyses; 6.5 Computer Application II; 6.6 Comments; Further Reading; Exercises; 7 Reporting DDA Results; 7.1 Introduction 7.2 Example of Reporting DDA Results7.3 Computer Package Information; 7.4 Reporting Terms; 7.5 MANOVA/DDA Applications; 7.6 Concerns; 7.7 Overview; Further Reading; Exercises; III FACTORIAL MANOVA, MANCOVA, AND REPEATED MEASURES; 8 Factorial MANOVA; 8.1 Introduction; 8.2 Research Context; 8.3 Univariate Analysis; 8.4 Multivariate Analysis; 8.4.1 Omnibus Tests; 8.4.2 Distribution Assumptions; 8.5 Computer Application I; 8.6 Computer Application II; 8.7 Nonorthogonal Design; 8.8 Outcome Variable Ordering and Deletion; 8.9 Summary; Technical Notes; Exercises; 9 Analysis of Covariance 9.1 Introduction
Record Nr.	UNINA-9910143553903321

Pubbl/distr/stampa	Berlin : , : Springer, , 2007-
Descrizione fisica	1 online resource
Disciplina	310
Soggetto topico	Statistics Statistique Economic history Statistiek
Soggetto genere / forma	Periodicals. Statistics.
ISSN	1863-8163
Classificazione	31.73
Formato	Materiale a stampa
Livello bibliografico	Periodico
Lingua di pubblicazione	ger
Altri titoli varianti	Wirtschafts- und Sozialstatistisches Archiv
Record Nr.	UNISA-996197893903316

Autore	Kotz Samuel
Pubbl/distr/stampa	Singapore ; ; London, : World Scientific, c2004
Descrizione fisica	1 online resource (307 p.)
Disciplina	515.782 519.5
Altri autori (Persone)	Van DorpJohan René
Soggetto topico	Theory of distributions (Functional analysis) Multivariate analysis
Soggetto genere / forma	Electronic books.
ISBN	1-281-89702-7 9786611897024 981-270-128-1
Classificazione	31.73
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Preface; Contents; Chapter 1 The Triangular Distribution; Chapter 2 Some Early Extensions of the Triangular Distribution; Chapter 3 The Standard Two-Sided Power Distribution; Chapter 4 The Two-Sided Power Distribution; Chapter 5 The Generalized Trapezoidal Distribution; Chapter 6 Uneven Two-Sided Power Distributions; Chapter 7 The Reflected Generalized Topp and Leone Distribution; Chapter 8 A Generalized Framework for Two-Sided Distributions; Epilogue; Appendix A Graphical Overview of Continuous Univariate Families of Distributions possessing a Bounded Domain Appendix B The Johnson SB DistributionBibliography; Author Index; Subject Index
Record Nr.	UNINA-9910451292403321

Autore	Nisbet Robert
Pubbl/distr/stampa	Amsterdam ; ; Boston, : Academic Press/Elsevier, c2009
Descrizione fisica	1 online resource (859 p.)
Disciplina	006.3/12 22 519.5
Altri autori (Persone)	ElderJohn F (John Fletcher) MinerGary
Soggetto topico	Data mining - Statistical methods Multivariate analysis
ISBN	1-282-16831-2 9786612168314 0-08-091203-6
Classificazione	31.73
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Front Cover; Handbook of Statistical Analysis and Data Mining Applications; Copyright Page; Table of Contents; Foreword 1; Foreword 2; Preface; Introduction; List of Tutorials by Guest Authors; Part 1: History of Phases of Data Analysis, Basic Theory, and the Data Mining Process; Chapter 1: The Background for Data Mining Practice; Assumptions of the Parametric Model; Two Views of Reality; Aristotle; Plato; The Rise of Modern Statistical Analysis: The Second Generation; Machine Learning Methods: The Third Generation; Statistical Learning Theory: The Fourth Generation Chapter 2: Theoretical Considerations for Data MiningMajor Issues in Data Mining; General Requirements for Success in a Data Mining Project; The Importance of Domain Knowledge; Postscript; Some Caveats with Data Mining Solutions; Chapter 3: The Data Mining Process; CRISP-DM; Assess the Business Environment for Data Mining; Data Understanding (Mostly Science); References; Preamble; Chapter 4: Data Understanding and Preparation; Preamble; Issues That Should be Resolved; Splitting Data Part 1: Using a Wrapper Approach in Weka to Determine the Most Appropriate Variables for Your Neural Network ModelExample 4; Data Extraction; Data Weighting and Balancing; Data Filtering and Smoothing; Data Abstraction; Data Reduction; Data Sampling; Data Discretization; Data Derivation; Postscript; Chapter 5: Feature Selection; Inductive Database Approach; Bi-variate Methods; Multivariate Methods; Postscript; Complex Methods; The Other Two Ways of Using Feature Selection in STATISTICA: Interactive Workspace; Preamble; Chapter 6: Accessory Tools for Doing Data Mining; Preamble; Introduction Basic Descriptive StatisticsCombining Groups (Classes) for Predictive Data Mining; Generalized Linear Models (GLMs); Data Miner Workspace Templates; Comparison of Models with and Without Time-Based Features; Example: The IDP Facility of STATISTICA Data Miner; Ensembles in General; Part 2: The Algorithms in Data Mining and Text Mining, the Organization of the Three most common Data Mining Tools, and Selected Speci...; Chapter 7: Basic Algorithms for Data Mining: A Brief Overview; Preamble; STATISTICA Data Miner Recipe (DMRecipe); Automated Neural Nets; Generalized Additive Models (GAMs) Outputs of GAMsRecursive Partitioning; Pruning Trees; Bibliography; Chapter 8: Advanced Algorithms for Data Mining; The Physical Data Mart; Summary; Micro-Target the Profitable Customers; Quality Control Data Mining and Root Cause Analysis; Chapter 9: Text Mining and Natural Language Processing; The Development of Text Mining; Chapter 10: The Three Most Common Data Mining Software Tools; Preamble; SPSS Clementine Overview; Preamble; Setting the Default Directory; Visual Data Preparation for Data Mining: Taking Photos, Moving Pictures, and Objects into Spreadsheets Representing the Photos... Preamble
Record Nr.	UNINA-9910777944903321