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Statistical Analysis of Continuous Data [Multiple-component retail product]

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  • Formaat: Multiple-component retail product, 1800 pages, kõrgus x laius: 234x156 mm, kaal: 3360 g, 4 Items, Contains 4 hardbacks
  • Sari: Sage Benchmarks in Social Research Methods
  • Ilmumisaeg: 25-Jun-2013
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1446248690
  • ISBN-13: 9781446248690
Teised raamatud teemal:
Statistical Analysis of Continuous DataSuurem pilt
  • Formaat: Multiple-component retail product, 1800 pages, kõrgus x laius: 234x156 mm, kaal: 3360 g, 4 Items, Contains 4 hardbacks
  • Sari: Sage Benchmarks in Social Research Methods
  • Ilmumisaeg: 25-Jun-2013
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1446248690
  • ISBN-13: 9781446248690
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781446248690.html
Märksõnad:
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. 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 DataVolume Two: Basic Principles for the Statistical Modelling of Continuous DataVolume Three: Multivariate Analyses of Continuous DataVolume Four: Statistical Modelling of Multivariate Continuous Data
Appendix of Sources xiii
Editors' Introduction: The Analysis of Continuous Data xxi
Roger Penn
Damon Berridge
Volume I Statistical Foundations for the Analysis of Continuous Data
1 Methods of Statistics
1(33)
F.Y. Edgeworth
2 Some New Methods of Measuring Variation in General Prices
34(22)
F.Y. Edgeworth
3 Mathematical Contributions to the Theory of Evolution - III: Regression, Heredity, and Panmixia
56(67)
Karl Pearson
4 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
123(43)
G. Udny Yule
5 On the Theory of Correlation
166(49)
G. Udny Yule
6 Mathematical Contributions to the Theory of Evolution - V: On the Reconstruction of the Stature of Prehistoric Races
215(74)
Karl Pearson
7 Probable Error of a Correlation Coefficient `Student'
289(11)
L. Gossett
8 On the Criterion of Goodness of Fit of the Regression Lines and on the Best Method of Fitting Them to the Data
300(7)
E. Slutsky
9 Notes on the History of Correlation
307(25)
Karl Pearson
10 On the "Probable Error" of a Coefficient of Correlation Deduced from a Small Sample
332(30)
R.A. Fisher
11 The Goodness of Fit of Regression Formula, and the Distribution of Regression Coefficients
362(18)
R.A. Fisher
12 Applications of "Student's" Distribution
380
R.A. Fisher
Volume II Basic Principles for the Statistical Modelling of Continuous Data
13 Testing for Normality
1(50)
R.C. Geary
14 A General Distribution Theory for a Class of Likelihood Criteria
51(40)
G.E.P. Box
15 A Method for Judging All Contrasts in the Analysis of Variance
91(24)
Henry Scheffe
16 An Analysis of Transformations
115(54)
G.E.P. Box
D.R. Cox
17 Issues in Multiple Regression
169(32)
Robert A. Gordon
18 Generalized Linear Models
201(19)
J.A. Nelder
R.W.M. Wedderburn
19 Quasi-likelihood Functions, Generalized Linear Models, and the Gauss-Newton Method
220(12)
R.W.M. Wedderburn
20 Comparison of Stopping Rules in Forward "Stepwise" Regression
232(18)
Robert B. Bendel
A.A. Afifi
21 Additive and Multiplicative Models and Interactions
250(22)
J.N. Darroch
T.P. Speed
22 Maximum Likelihood Estimation and Large-Sample Inference for Generalized Linear and Nonlinear Regression Models
272(13)
Bent Jorgensen
23 Iteratively Reweighted Least Squares for Maximum Likelihood Estimation, and Some Robust and Resistant Alternatives
285(67)
P.J. Green
24 Selection of Subsets of Regression Variables
352(54)
Alan J. Miller
25 A Fast Model Selection Procedure for Large Families of Models
406(18)
David Edwards
Tomas Havranek
26 Control of Leaf Expansion in Sunflower (Helianthus annuus L.) by Nitrogen Nutrition
424(18)
S.J. Palmer
D.M. Berridge
A.J.S. McDonald
W.J. Davies
27 Saccadic Eye Movements in Families Multiply Affected with Schizophrenia: The Maudsley Family Study
442
T.J. Crawford
T. Sharma
B.K. Puri
R.M. Murray
D.M. Berridge
S.W. Lewis
Volume III Multivariate Analyses of Continuous Data
28 The Generalization of Student's Ratio
1(15)
Harold Hotelling
29 On the Generalized Distance in Statistics
16(8)
P.C. Mahalanobis
30 Significance Test for Sphericity of a Normal n-Variate Distribution
24(6)
John W. Mauchly
31 Tests with Discriminant Functions in Multivariate Analysis
30(10)
C. Radhakrishna Rao
32 Sample Criteria for Testing Equality of Means, Equality of Variances, and Equality of Covariances in a Normal Multivariate Distribution
40(28)
S.S. Wilks
33 An Extension of Box's Results on the Use of the F Distribution in Multivariate Analysis
68(9)
Seymour Geisser
Samuel W. Greenhouse
34 Multivariate Analysis of Variance (MANOVA)
77(19)
H. Smith
R. Gnanadesikan
J.B. Hughes
35 Some Non-Central Distribution Problems in Multivariate Analysis
96(19)
A.G. Constantine
36 Asymptotic Theory for Principal Component Analysis
115(34)
T.W. Anderson
37 A Generalized Multivariate Analysis of Variance Model Useful Especially for Growth Curve Problems
149(19)
Richard F. Potthoff
S.N. Roy
38 Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis
168(19)
J.C. Gower
39 The Analysis of Association among Many Variates
187(55)
E.J. Williams
40 A General Maximum Likelihood Discriminant
242(12)
N.E. Day
D.F. Kerridge
41 On Some Invariant Criteria for Grouping Data
254(23)
H.P. Friedman
J. Rubin
42 On the Non-Central Distributions of Two Test Criteria in Multivariate Analysis of Variance
277(15)
C.G. Khatri
K.C.S. Pillai
43 Estimating the Components of a Mixture of Normal Distributions
292(16)
N.E. Day
44 Conditions under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions
308(10)
Huynh Huynh
Leonard S. Feldt
45 Canonical Analysis of Several Sets of Variables
318
J.R. Kettenring
Volume IV Statistical Modelling of Multivariate Continuous Data
46 Principles of Path Analysis
1(32)
Kenneth C. Land
47 Contingencies in Constructing Causal Models
33(34)
Otis Dudley Duncan
48 Comparative Robustness of Six Tests in Multivariate Analysis of Variance
67(32)
Chester L. Olson
49 Multivariate Analysis with Latent Variables: Causal Modeling
99(40)
P.M. Bentler
50 Significance Tests and Goodness of Fit in the Analysis of Covariance Structures
139(28)
P.M. Bentler
Douglas G. Bonett
51 Analysis of Covariance Structures
167(54)
Karl G. Joreskog
52 Recent Developments in Structural Equation Modeling
221(27)
Karl G. Joreskog
Dag Sorbom
53 Random-Effects Models for Longitudinal Data
248(16)
Nan M. Laird
James H. Ware
54 Statistics and Causal Inference
264(36)
Paul W. Holland
55 Structural Equation Models in the Social and Behavioral Sciences: Model Building
300(23)
James G. Anderson
56 Linear Modelling with Clustered Observations: An Illustrative Example of Earnings in the Engineering Industry
323(20)
R.B. Davies
A.M. Martin
R. Penn
57 Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach
343(29)
James C. Anderson
David W. Gerbing
58 Newton--Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
372(20)
Mary J. Lindstrom
Douglas M. Bates
59 Evaluation of Goodness-of-Fit Indices for Structural Equation Models
392(35)
Stanley A. Mulaik
Larry R. James
Judith Van Alstine
Nathan Bennett
Sherri Lind
C. Dean Stilwell
60 Testing for the Equivalence of Factor Covariance and Mean Structures: The Issue of Partial Measurement Invariance
427(24)
Barbara M. Byrne
Richard J. Shavelson
Bengt Muthen
61 Applications of Structural Equation Modeling in Psychological Research
451(27)
Robert C. MacCallum
James T. Austin
62 Beyond SEM: General Latent Variable Modeling
478(37)
Bengt O. Muthen
63 Modelling Trajectories through the Educational System in North West England
515
Roger Penn
Damon Berridge
Roger Penn is currently Professor of Sociology in the School of Sociology, Social Policy & Social Work at Queens University Belfast. Previously, he was Professor of Economic Sociology at Lancaster University. He has been a visiting professor at UCLA, UC Berkeley, and the University of Bologna and has authored 14 books including Skilled Workers in the Class Structure; Class, Power and Technology; Social Change and Economic Life in Britain; and Children of International Migrants in Europe. He has edited a range of books including Skill and Occupational Change, Trade Unions in Recession, and two 4 Volume SAGE Series: Social Statistics and The Statistical Analysis of Continuous Data. He has also authored around 150 articles in peer-reviewed journals since 1975. He is currently on the editorial board of the European Journal for Sport and Society. He has a long-standing interest in the sociology of football. He has taught courses in this field for over a decade both at Lancaster University and more recently at Queens University. He has published a range of articles over recent years that have examined football sociologically. These have included several SAGE Research Methods Case Studies.