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  • 1
    UID:
    almafu_BV001236571
    Format: XI, 439 S. : graph. Darst.
    ISBN: 3-540-17720-5 , 0-387-17720-5
    Language: English
    Subjects: Economics
    RVK:
    RVK:
    Keywords: Statistik ; Sozialwissenschaften ; Statistik ; Betriebswirtschaftslehre ; Statistik ; Wirtschaftswissenschaften ; Statistik ; Wirtschaftsstatistik ; Einführung ; Einführung ; Lehrbuch ; Lehrbuch ; Einführung
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Berlin u.a. :Springer,
    UID:
    almafu_BV009528269
    Format: XI, 531 S. : graph. Darst.
    Edition: 3. ed.
    ISBN: 3-540-57696-7 , 0-387-57696-7
    Note: Literaturverz. S. 504 - 518
    Language: German
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Qualitative Daten ; Kontingenztafelanalyse ; Datenanalyse ; Statistik ; Kategoriale Daten ; Statistische Analyse ; Lehrbuch ; Lehrbuch ; Lehrbuch
    URL: Cover
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  • 3
    Book
    Book
    Berlin [u.a.] :Springer,
    UID:
    almafu_BV002490203
    Format: IX, 522 S. : , graph. Darst.
    ISBN: 3-540-52139-9 , 0-387-52139-9
    Note: Literaturverz. S. 495 - 509
    Language: English
    Subjects: Economics , Psychology , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Qualitative Daten ; Kontingenztafelanalyse ; Datenanalyse ; Statistik ; Kategoriale Daten ; Statistische Analyse ; Lehrbuch ; Lehrbuch ; Lehrbuch
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  • 4
    UID:
    almafu_BV011230293
    Format: X, 265 S. : graph. Darst.
    ISBN: 3-540-62399-X
    Language: German
    Subjects: Economics , Psychology , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Qualitative Daten ; Kontingenztafelanalyse ; Kategoriale Daten ; Statistische Analyse ; Datenanalyse ; Statistik ; Lehrbuch ; Lehrbuch ; Lehrbuch
    URL: Cover
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  • 5
    Book
    Book
    Amsterdam [u.a.] :North-Holland Publ.,
    UID:
    almafu_BV002298367
    Format: XIII, 383 S. : , graph. Darst.
    ISBN: 0-444-85334-0
    Note: Literaturverz.: S. 360 - 370
    Language: English
    Subjects: Economics , Psychology , Mathematics
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Statistik ; Sozialwissenschaften
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  • 6
    Book
    Book
    Berlin u.a. :Springer,
    UID:
    almafu_BV004558175
    Format: XI, 531 S. : graph. Darst.
    Edition: 2., rev. and enl. ed.
    ISBN: 3-540-54463-1 , 0-387-54463-1
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Qualitative Daten ; Kontingenztafelanalyse ; Datenanalyse ; Statistik ; Kategoriale Daten ; Statistische Analyse ; Lehrbuch ; Bibliographie enthalten ; Lehrbuch
    URL: Cover
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  • 7
    UID:
    b3kat_BV001068335
    Format: 283 S. , graph. Darst.
    ISBN: 3456803087
    Language: English
    Subjects: Psychology
    RVK:
    Keywords: Mathematische Psychologie ; Sozialpsychologie ; Sozialpsychologie ; Mathematisches Modell ; Modell ; Aufsatzsammlung ; Aufsatzsammlung
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  • 8
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    UID:
    almahu_9947363307002882
    Format: X, 265 p. , online resource.
    ISBN: 9783642591235
    Note: 1 Introduction -- 1.1 The two-way table -- 2 Basic Theory -- 2.1 Introduction -- 2.2 Exponential families -- 2.3 Statistical inference in an exponential family -- 2.4 The binomial distribution -- 2.5 The multinomial distribution -- 2.6 The Poisson distribution -- 2.7 Composite hypotheses -- 2.8 Applications to the multinomial distribution -- 2.9 Log-linear models -- 2.10 The two-way contingency table -- 2.11 The numerical solution of the likelihood equations for the log-linear model -- 2.12 Bibliographical notes -- 2.13 Exercises -- 3 Three-way contingency tables -- 3.1 Log-linear models -- 3.2 Log-linear hypotheses -- 3.3 Estimation -- 3.4 Testing hypotheses -- 3.5 Interpretation of the log-linear parameters -- 3.6 Choice of model -- 3.7 Detection of model deviations -- 3.8 Bibliographical notes -- 3.9 Exercises -- 4 Multi-dimensional contingency tables -- 4.1 The log-linear model -- 4.2 Classification and interpretation of log-linear models -- 4.3 Choice of model -- 4.4 Diagnostics -- 4.5 Model search strategies -- 4.6 Bibliographical notes -- 4.7 Exercises -- 5 Incomplete Tables -- 5.1 Random and structural zeros -- 5.2 Counting the number of degrees of freedom -- 5.3 Validity of the X2-approximation -- 5.4 Exercises -- 6 The Logit Model -- 6.1 The logit model -- 6.2 Hypothesis testing in the logit model -- 6.3 Logit models with higher order interactions -- 6.4 The logit model as a regression model -- 6.5 Bibliographical notes -- 6.6 Exercises -- 7 Logistic Regression Analysis -- 7.1 The logistic regression model -- 7.2 Estimation in the logistic regression model -- 7.3 Numerical solution of the likelihood equations -- 7.4 Checking the fit of the model -- 7.5 Hypothesis testing -- 7.6 Diagnostics -- 7.7 Predictions -- 7.8 Dummy variables -- 7.9 Polytomous response variables -- 7.10 Bibliographical notes -- 7.11 Exercises -- 8 Association Models -- 8.1 Introduction -- 8.2 Symmetry models -- 8.3 Marginal homogeneity -- 8.4 RC-association models -- 8.5 Correspondence analysis -- 8.6 Bibliographical notes -- 8.5 Exercises -- Appendix Solutions and output to selected exercises -- References.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540623991
    Language: English
    Keywords: Lehrbuch
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  • 9
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg,
    UID:
    almahu_9947363126602882
    Format: XII, 532 p. , online resource.
    Edition: Third Edition.
    ISBN: 9783642788178
    Content: The aim of this book is to give an up to date account of the most commonly uses statisti­ cal models for categorical data. The emphasis is on the connection between theory and applications to real data sets. The book only covers models for categorical data. Various models for mixed continuous and categorical data are thus excluded. The book is written as a textbook, although many methods and results are quite recent. This should imply, that the book can be used for a graduate course in categorical data analysis. With this aim in mind chapters 3 to 12 are concluded with a set of exer­ cises. In many cases, the data sets are those data sets, which were not included in the examples of the book, although they at one point in time were regarded as potential can­ didates for an example. A certain amount of general knowledge of statistical theory is necessary to fully benefit from the book. A summary of the basic statistical concepts deemed necessary pre­ requisites is given in chapter 2. The mathematical level is only moderately high, but the account in chapter 3 of basic properties of exponential families and the parametric multinomial distribution is made as mathematical precise as possible without going into mathematical details and leaving out most proofs.
    Note: 1. Categorical Data -- 2. Preliminaries -- 2.1 Statistical models -- 2.2 Estimation -- 2.3 Testing statistical hypotheses -- 2.4 Checking the model -- 3. Statistical Inference -- 3.1 Log-linear models -- 3.2 The one-dimensional case -- 3.3 The multi-dimensional case -- 3.4 Testing composite hypotheses -- 3.5 The parametric multinomial distribution -- 3.6 Generalized linear models -- 3.7 Solution of likelihood equations -- 3.8 Exercises -- 4. Two-way Contingency Tables -- 4.1 Three models -- 4.2 The 2×2 table -- 4.3 The log-linear parameterization -- 4.4 The hypothesis of no interaction -- 4.5 Residual analysis -- 4.6 Exercises -- 5. Three-way Contingency Tables -- 5.1 The log-linear parameterization -- 5.2 Hypothesis in a three-way table -- 5.3 Hypothesis testing -- 5.4 Decomposition of the test statistic -- 5.5 Detection of model departures -- 5.6 Exercises -- 6. Multi-dimension Contingency Tables -- 6.1 The log-linear model -- 6.2 Interpretation of log-linear models -- 6.3 Search for a model -- 6.4 Diagnostics for model departures -- 6.5 Exercises -- 7. Incomplete Tables, Separability and Collapsibility -- 7.1 Incomplete tables -- 7.2 Two-way tables and quasi-independence -- 7.3 Higher order tables. Separability -- 7.4 Collapsibility -- 7.5 Exercises -- 8. The Logit Model -- 8.1 The logit-model with binary explanatory variables -- 8.2 The logit model with polytomous explanatory variables -- 8.3 Exercises -- 9. Logistic Regression Analysis -- 9.1 The logistic regression model -- 9.2 Regression diagnostics -- 9.3 Predictions -- 9.4 Polytomous response variables -- 9.5 Exercises -- 10. Models for the Interactions -- 10.1 Introduction -- 10.2 Symmetry models -- 10.3 Marginal homogeneity -- 10.4 Models for mobility tables -- 10.5 Association models -- 10.6 RC-association models -- 10.7 Log-linear association models -- 10.8 Exercises -- 11. Correspondence Analysis -- 11.1 Correspondence analysis for two-way tables -- 11.2 Correspondence analysis for multi-way tables -- 11.3 Comparison of models -- 11.4 Exercises -- 12. Latent Structure Analysis -- 12.1 Latent structure models -- 12.2 Latent class models -- 12.3 Continuous latent structure models -- 12.4 The EM-algorithm -- 12.5 Estimation in the latent class model -- 12.6 Estimation in the continuous latent structure model -- 12.7 Testing the goodness of fit -- 12.8 Diagnostics -- 12.9 Score models with varying discriminating powers -- 12.10 Comparison of latent structure models -- 12.11 Estimation of the latent variable -- 12.12 Exercises -- 13. Computer Programs -- References -- Author Index -- Examples with Data.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783642788192
    Language: English
    Keywords: Lehrbuch
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  • 10
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg,
    UID:
    almahu_9947363299302882
    Format: IX, 523 p. , online resource.
    ISBN: 9783642972256
    Content: The aim of this book is to give an up to date account of the most commonly uses statist i­ cal models for categoriCal data. The emphasis is on the connection between theory and appIications to real data sets. The book only covers models for categorical data. Various n:t0dels for mixed continuous and categorical data are thus excluded. The book is written as a textbook, although many methods and results are quite recent. This should imply, that the book can be used for a graduate course in categorical data analysis. With this aim in mind chapters 3 to 12 are concluded with a set of exer­ eises. In many cases, the data sets are those data sets, which were not included in the examples of the book, although they at one point in time were regarded as potential can­ didates for an example. A certain amount of general knowledge of statistical theory is necessary to fully benefit from the book. A summary of the basic statistical concepts deemed necessary pre­ requisites is given in chapter 2. The mathematical level is only moderately high, but the account in chapter 3 of basic properties of exponential families and the parametric multinomial distribution is made as mathematical preeise as possible without going into mathematical details and leaving out most proofs.
    Note: 1. Categorical Data -- 2. Preliminaries -- 2.1 Statistical models -- 2.2 Estimation -- 2.3 Testing statistical hypotheses -- 2.4 Checking the model -- 3. Statistical Inference -- 3.1 Log-linear models -- 3.2 The one-dimensional case -- 3.3 The multi-dimensional case -- 3.4 Testing composite hypotheses -- 3.5 The parametric multinomial distribution -- 3.6 Generalized linear models -- 3.7 Solution of likelihood equations -- 3.8 Exercises -- 4. Two-way Contingency Tables -- 4.1 Three models -- 4.2 The 2x2 table -- 4.3 The log-linear parameterization -- 4.4 The hypothesis of no interaction -- 4.5 Residual analysis -- 4.6 Exercises -- 5. Three-way Contingency Tables -- 5.1 The log-linear parameterization -- 5.2 Hypotheses in a three-way table -- 5.3 Hypothesis testing -- 5.4 Decomposition of the test statistic -- 5.5 Detection of model departures -- 5.6 Exercises -- 6. Multi-dimensional Contingency Tables -- 6.1 The log-linear model -- 6.2 Interpretation of log-linear models -- 6.3 Search for a model -- 6.4 Diagnostics for model departures -- 6.5 Exercises -- 7. Incomplete Tables, Separability and Collapsibility -- 7.1 Incomplete tables -- 7.2 Two-way tables and quasi-independence -- 7.3 Higher order tables. Separability -- 7.4 Colapsibility -- 7.5 Exercises -- 8. The Logit Model -- 8.1 The logit model with binary explanatory variables -- 8.2 The logit model with polytomous explanatory variables -- Exercises -- 9. Logistic Regression Analysis -- 9.1 The logistic regression model -- 9.2 Regression diagnostics -- 9.3 Predictions -- 9.4 Polytomous response variables -- 9.5 Exercises -- 10 Models for the Interactions -- 10.1 Introduction -- 10.2 Symmetry models -- 10.3 Marginal homogeneity -- 10.4 Models for mobility tables -- 10.5 Association models -- 10.6 RC-association models -- 10.7 Log-linear association models -- 10.8 Exercises -- 11. Correspondance Analysis -- 11.1 Correspondance analysis for two-way tables -- 11.2 Correspondance analysis for multiway tables -- 11.3 Comparison of models -- 11.4 Exercises -- 12. Latent Structure Analysis -- 12.1 Latent structure models -- 12.2 Latent class models -- 12.3 Continuous latent structure models -- 12.4 The EM-algorithm -- 12.5 Estimation in the latent class model -- 12.6 Estimation in the continuous latent structure model -- 12.7 Testing the goodness of fit -- 12.8 Diagnostics -- 12.9 Score models with varying discriminating powers -- 12.10 Comparison of latent structure models -- 12.11 Estimation of the latent variable -- 12.12 Exercises -- References -- Author Index -- Examples with Data.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783642972270
    Language: English
    Keywords: Lehrbuch
    Library Location Call Number Volume/Issue/Year Availability
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