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Statistical Analysis of Continuous Data de Roger Penn

Statistical Analysis of Continuous Data: SAGE Benchmarks in Social Research Methods

Editat de Roger Penn, Damon Berridge
en Limba Engleză Hardback – 24 iun 2013
This new four-volume collection tracks the development of statistical methods for continuous, or interval-scale data. Examples of such data occurring in the social sciences include indicators of educational attainment (for example, GCSE scores) and psychometric measures of intelligence. Framed by a new contextualising introduction, the volumes are organised thematically, covering key areas to enable a well-rounded and comprehensive understanding of the discipline:Volume One: Statistical Foundations for the Analysis of Continuous Data
Volume Two: Basic Principles for the Statistical Modelling of Continuous Data
Volume Three: Multivariate Analyses of Continuous Data
Volume Four: Statistical Modelling of Multivariate Continuous Data
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Specificații

ISBN-13: 9781446248690
ISBN-10: 1446248690
Pagini: 1800
Dimensiuni: 156 x 234 x 127 mm
Greutate: 3.36 kg
Ediția:Four-Volume Set
Editura: SAGE Publications
Colecția Sage Publications Ltd
Seria SAGE Benchmarks in Social Research Methods

Locul publicării:London, United Kingdom

Cuprins

VOLUME ONE: STATISTICAL FOUNDATIONS FOR THE ANALYSIS OF CONTINUOUS DATA
Methods of Statistics - F. Edgeworth
Some New Methods of Measuring Variation in General Prices - F. Edgeworth
Contributions to the Mathematical Theory of Evolution - Karl Pearson
Regression, Heredity and Panmixia
Notes on the History of Pauperism in England and Wales from 1850, Treated by the Method of Frequency-Curves, with an Introduction on the Method - G. Udny Yule
On the Theory of Correlation - G. Udny Yule
Mathematical Contributions to the Theory of Evolution - Karl Pearson
On the Reconstruction of the Stature of Prehistoric Races
Probable Error of a Mean - L. Gossett ('Student')
On the Criterion of Goodnes -of-Fit of the Regression Lines and on the Best Methods of Fitting Them to the Data - E. Slutsky
Notes on the History of Correlation - Karl Pearson
On the 'Probable Error' of a Co-Efficient of Correlation Deduced from a Small Sample - R.A. Fisher
The Goodness-of-Fit of Regression Formulae and the Distribution of Regression Co-Efficients - R.A. Fisher
Applications of 'Students' Distribution - A. Fisher
VOLUME TWO: BASIC PRINCIPLES FOR THE STATISTICAL MODELING OF CONTINUOUS DATA
Testing for Normality - R. Geary
A General Distribution Theory for a Class of Likelihood Criteria - G. Box
A Method for Judging All Contrasts in the Analysis of Variance - Henry Scheffe
An Analysis of Transformations - G. Box and D. Cox
Issues in Multiple Regression - Robert Gordon
Generalized Linear Models - J. Nelder and R. Wedderburn
Quasi-Likelihood Functions, Generalized Linear Models and the Gauss-Newton Method - R. Wedderburn
Comparison of Stopping Rules in forward 'Stepwise' Regression - Robert Bendall and A. Afifi
Additive and Multiplicative Models and Interactions - J. Darroch and T. Speed
Maximum Likelihood Estimation and Large-Sample Inference for Generalized Linear and Non-Linear Regression Models - Bent Jorgensen
Iteratively Reweighted Least Squares for Maximum Likelihood Estimation and Some Robust and Resistant Alternatives - P. Green
Selection of Subsets of Regression Variables - Alan Miller
A Fast Model Selection Procedure for Large Families of Models - D. Edwards and T. Havranek
Control of Leaf Expansion in Sunflower (Helianthus anuus L.) by Nitrogen Nutrition - S. Palmer et al
Saccadic Eye Movements in Families Multiply Affected with Schizophrenia - T Crawford et al
The Maudsley Family Study
VOLUME THREE: MULTIVARIATE ANALYSES OF CONTINUOUS DATA
The Generalization of Student's Ratio - Harold Hotelling
On the Generalized Distance in Statistics - P. Mahalanobis
Significance Test for Sphericity of a Normal n-Variate Distribution - John Mauchly
Tests with Discriminant Functions in Multivariate Analysis - Radhakrishna Rao
Sample Criteria for Testing Equality of Means, Equality of Variances and Equality of Co-Variances in a Normal Multivariate Distribution - S. Wilks
An Extension of Box's Results on the Use of the F Distribution in Multivariate Analysis - Seymour Geisser and Samuel Greenhouse
Multivariate Analysis of Variance (MANOVA) - H. Smith et al
Some Non-Central Distribution Problems in Multivariate Analysis - A. Constantine
Asymptotic Theory for a Principal Component Analysis - T. Anderson
A Generalized Multivariate Analysis of Variance Model Useful Especially for Growth Curve Problems - Richard Potthoff and S. Roy
Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis - J. Gower
The Analysis of Association among Many Variates - E. Williams
A General Maximum Likelihood Discriminant - N. Day and D. Kerridge
On Some Invariant Criteria for Grouping Data - H. Friedman and J. Rubin
On the Non-Central Distributions of Two Test Criteria in a Multivariate Analysis of Variance - C. Khatri and K. Pillai
Estimating the Components of a Mixture of Normal Distributions - N. Day
Conditions under Which Mean -Square Ratios in Repeated Measurements Designs Have Exact F-Distributions - Huyhn Huynh and Leonard Feldt
Canonical Analysis of Several Sets of Variables - J. Kettenring
VOLUME FOUR: STATISTICAL MODELING OF MULTIVARIATE CONTINUOUS DATA
Principles of Path Analysis - Kenneth Land
Contingencies in Constructing Causal Models - Otis Dudley Duncan
Unmeasured Variables in Linear Models for Panel Analysis - Otis Dudley Duncan
Comparative Robustness of Six Tests in Multivariate Analysis of Variance - Chester Olson
Multivariate Analysis with Latent Variables - P. Bentler
Causal Modeling
Significance Tests and Goodness-of- Fit in the Analysis of Covariance Structures - P. Bentler and Douglas Bonett
Analysis of Covariance Structures [with Discussion and Reply] - Karl Joreskog et al
Recent Developments in Structural Equation Modeling - Karl Joreskog and Dag Sörbom
Random-Effects Models for Longitudinal Data - Nan Laird and James Ware
Statistics and Causal Inference - Paul Holland
Structural Equation Models in the Social and Behavioural Sciences - James Anderson
Model-Building
Linear Modeling with Clustered Observations - R. Davies et al
An Illustrative Example of Earnings in the Engineering Industry
Structural Equation Modeling in Practice - James Anderson and David Gerbing
A Review and Recommended Two-Step Approach
Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data - Mary Lindstrom and Douglas Bates
Evaluation of Goodness-of-Fit Indices for Structural Equation Models - Stanley Mulaik et al
Testing for the Equivalence of Factor Covariance and Mean Structures - Barbara Byrne et al
The Issue of Partial Measurement Invariance
On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models - Nanny Wermuth and Steffen Lilholt Lauritzen
Applications of Structural Equation Modeling in Psychological Research - Robert MacCallum and James Austin
Beyond Structural Equation Modeling: - Bengt Muthen
General Latent Variable Modeling
Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models - Ke-Hai Yuan and Peter Bentler
Modeling Trajectories through the Educational System in North-West England - Roger Penn and Damon Berridge

Descriere

This collection, assembled and introduced by the esteemed editorial team of acclaimed Social Statistics, tracks the development of statistical methods for continuous or interval-scale data. The volumes are divided thematically, but the set maintains an overarching chronological structure, to help the reader to understand key areas within their historical context.