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35 produkter

Multivariate Statistical Modelling Based on Generalized Linear Models
AvLudwig Fahrmeir,Gerhard Tutz
Inbunden, Engelska, 2001
2 776 kr
Skickas inom 10-15 vardagar
Since our first edition of this book, many developments in statistical mod elling based on generalized linear models have been published, and our primary aim is to bring the book up to date. Naturally, the choice of these recent developments reflects our own teaching and research interests. The new organization parallels that of the first edition. We try to motiv ate and illustrate concepts with examples using real data, and most data sets are available on http:/ fwww. stat. uni-muenchen. de/welcome_e. html, with a link to data archive. We could not treat all recent developments in the main text, and in such cases we point to references at the end of each chapter. Many changes will be found in several sections, especially with those connected to Bayesian concepts. For example, the treatment of marginal models in Chapter 3 is now current and state-of-the-art. The coverage of nonparametric and semiparametric generalized regression in Chapter 5 is completely rewritten with a shift of emphasis to linear bases, as well as new sections on local smoothing approaches and Bayesian inference. Chapter 6 now incorporates developments in parametric modelling of both time series and longitudinal data. Additionally, random effect models in Chapter 7 now cover nonparametric maximum likelihood and a new section on fully Bayesian approaches. The modifications and extensions in Chapter 8 reflect the rapid development in state space and hidden Markov models.
Del 78 - Lecture Notes in Statistics
Advances in GLIM and Statistical Modelling
Proceedings of the GLIM92 Conference and the 7th International Workshop on Statistical Modelling, Munich, 13–17 July 1992
AvLudwig Fahrmeir,Brian Francism. fl.
Häftad, Engelska, 1992
1 114 kr
Skickas inom 10-15 vardagar
This volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992. The meeting aimed to bring together researchers interested in the development and applications of generalized linear modelling in GUM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops and GUM conferences. Previous GUM conferences were held in London and Lancaster, and a joint GUM Conference/4th Modelling Workshop was held in Trento. (The Proceedings of previous GUM conferences/Statistical Modelling Workshops are available as numbers 14 , 32 and 57 of the Springer Verlag series of Lecture Notes in Statistics). Workshops have been organized in Innsbruck, Perugia, Vienna, Toulouse and Utrecht. (Proceedings of the Toulouse Workshop appear as numbers 3 and 4 of volume 13 of the journal Computational Statistics and Data Analysis). Much statistical modelling is carried out using GUM, as is apparent from many of the papers in these Proceedings. Thus the Programme Committee were also keen on encouraging papers which addressed problems which are not only of practical importance but which are also relevant to GUM or other software development. The Programme Committee requested both theoretical and applied papers. Thus there are papers in a wide range of practical areas, such as ecology, breast cancer remission and diabetes mortality, banking and insurance, quality control, social mobility, organizational behaviour.
Del 34 - Cambridge Series in Statistical and Probabilistic Mathematics
Regression for Categorical Data
AvGerhard Tutz
Inbunden, Engelska, 2011
1 118 kr
Skickas inom 11-20 vardagar
This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accompanied by an R package that contains data sets and code for all the examples.
Multivariate Statistical Modelling Based on Generalized Linear Models
AvLudwig Fahrmeir,Gerhard Tutz
Häftad, Engelska, 2010
2 773 kr
Skickas inom 10-15 vardagar
Since our first edition of this book, many developments in statistical mod elling based on generalized linear models have been published, and our primary aim is to bring the book up to date. Naturally, the choice of these recent developments reflects our own teaching and research interests. The new organization parallels that of the first edition. We try to motiv ate and illustrate concepts with examples using real data, and most data sets are available on http:/ fwww. stat. uni-muenchen. de/welcome_e. html, with a link to data archive. We could not treat all recent developments in the main text, and in such cases we point to references at the end of each chapter. Many changes will be found in several sections, especially with those connected to Bayesian concepts. For example, the treatment of marginal models in Chapter 3 is now current and state-of-the-art. The coverage of nonparametric and semiparametric generalized regression in Chapter 5 is completely rewritten with a shift of emphasis to linear bases, as well as new sections on local smoothing approaches and Bayesian inference. Chapter 6 now incorporates developments in parametric modelling of both time series and longitudinal data. Additionally, random effect models in Chapter 7 now cover nonparametric maximum likelihood and a new section on fully Bayesian approaches. The modifications and extensions in Chapter 8 reflect the rapid development in state space and hidden Markov models.
Advances in GLIM and Statistical Modelling
Proceedings of the GLIM92 Conference and the 7th International Workshop on Statistical Modelling, Munich, 13–17 July 1992
AvGerhard Tutz,Robert Gilchristm. fl.
E-bok
PDF, Engelska, 2012
1 416 kr
Läs direkt efter köp
This volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992. The meeting aimed to bring together researchers interested in the development and applications of generalized linear modelling in GUM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops and GUM conferences. Previous GUM conferences were held in London and Lancaster, and a joint GUM Conference/4th Modelling Workshop was held in Trento. (The Proceedings of previous GUM conferences/Statistical Modelling Workshops are available as numbers 14 , 32 and 57 of the Springer Verlag series of Lecture Notes in Statistics). Workshops have been organized in Innsbruck, Perugia, Vienna, Toulouse and Utrecht. (Proceedings of the Toulouse Workshop appear as numbers 3 and 4 of volume 13 of the journal Computational Statistics and Data Analysis). Much statistical modelling is carried out using GUM, as is apparent from many of the papers in these Proceedings. Thus the Programme Committee were also keen on encouraging papers which addressed problems which are not only of practical importance but which are also relevant to GUM or other software development. The Programme Committee requested both theoretical and applied papers. Thus there are papers in a wide range of practical areas, such as ecology, breast cancer remission and diabetes mortality, banking and insurance, quality control, social mobility, organizational behaviour.
Multivariate Statistical Modelling Based on Generalized Linear Models
AvGerhard Tutz,Ludwig Fahrmeir
E-bok
PDF, Engelska, 2013
3 464 kr
Läs direkt efter köp
Since our first edition of this book, many developments in statistical mod elling based on generalized linear models have been published, and our primary aim is to bring the book up to date. Naturally, the choice of these recent developments reflects our own teaching and research interests. The new organization parallels that of the first edition. We try to motiv ate and illustrate concepts with examples using real data, and most data sets are available on http:/ fwww. stat. uni-muenchen. de/welcome_e. html, with a link to data archive. We could not treat all recent developments in the main text, and in such cases we point to references at the end of each chapter. Many changes will be found in several sections, especially with those connected to Bayesian concepts. For example, the treatment of marginal models in Chapter 3 is now current and state-of-the-art. The coverage of nonparametric and semiparametric generalized regression in Chapter 5 is completely rewritten with a shift of emphasis to linear bases, as well as new sections on local smoothing approaches and Bayesian inference. Chapter 6 now incorporates developments in parametric modelling of both time series and longitudinal data. Additionally, random effect models in Chapter 7 now cover nonparametric maximum likelihood and a new section on fully Bayesian approaches. The modifications and extensions in Chapter 8 reflect the rapid development in state space and hidden Markov models.
Multivariate Statistical Modelling Based on Generalized Linear Models
AvGerhard Tutz,Ludwig Fahrmeir
E-bok
PDF, Engelska, 2013
1 148 kr
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Classical statistical models for regression, time series and longitudinal data provide well-established tools for approximately normally distributed vari ables. Enhanced by the availability of software packages these models dom inated the field of applications for a long time. With the introduction of generalized linear models (GLM) a much more flexible instrument for sta tistical modelling has been created. The broad class of GLM''s includes some of the classicallinear models as special cases but is particularly suited for categorical discrete or nonnegative responses. The last decade has seen various extensions of GLM''s: multivariate and multicategorical models have been considered, longitudinal data analysis has been developed in this setting, random effects and nonparametric pre dictors have been included. These extended methods have grown around generalized linear models but often are no longer GLM''s in the original sense. The aim of this book is to bring together and review a large part of these recent advances in statistical modelling. Although the continuous case is sketched sometimes, thoughout the book the focus is on categorical data. The book deals with regression analysis in a wider sense including not only cross-sectional analysis but also time series and longitudinal data situations. We do not consider problems of symmetrical nature, like the investigation of the association structure in a given set of variables. For example, log-linear models for contingency tables, which can be treated as special cases of GLM''s are totally omitted. The estimation approach that is primarily considered in this book is likelihood-based.
Short Guide to Item Response Theory Models
AvGerhard Tutz
Inbunden, Engelska, 2025
948 kr
Skickas inom 10-15 vardagar
This book presents foundational concepts, essential principles, and practical applications of Item Response Theory (IRT). It provides a structured survey of diverse models that have been put forth, emphasizing both their differences and commonalities.The main focus is on modern latent trait theory models which provide measurement tools that clearly separate between person abilities and item parameters. The topics covered include the binary Rasch model, its extensions and alternative binary models, ordinal models and their extensions that account for response styles, the thresholds model, classical test theory, response models for count data, differential item functioning, and explanatory item response models. Tree-based item response models, typically not found in classical IRT textbooks, are also addressed.Applications of the models are illustrated on several data sets from differing areas, showing how models can be fitted and compared. All examples have been computed using R. Code snippets are provided, and the full R code for most of the examples is available online.The book is aimed at graduate students, applied statisticians, and researchers working in psychometrics, educators, and anyone curious about modeling strategies that enhance the precision and validity of their measurement tools. It serves as an introductory guide for beginners while also providing a resource for those seeking an overview of the plethora of available IRT models.
Short Guide to Item Response Theory Models
AvGerhard Tutz
E-bok
Engelska, 2025
1 176 kr
Läs direkt efter köp
This book presents foundational concepts, essential principles, and practical applications of Item Response Theory (IRT). It provides a structured survey of diverse models that have been put forth, emphasizing both their differences and commonalities.
The main focus is on modern latent trait theory models which provide measurement tools that clearly separate between person abilities and item parameters. The topics covered include the binary Rasch model, its extensions and alternative binary models, ordinal models and their extensions that account for response styles, the thresholds model, classical test theory, response models for count data, differential item functioning, and explanatory item response models. Tree-based item response models, typically not found in classical IRT textbooks, are also addressed.
Applications of the models are illustrated on several data sets from differing areas, showing how models can be fitted and compared. All examples have been computed using R. Code snippets are provided, and the full R code for most of the examples is available online.
The book is aimed at graduate students, applied statisticians, and researchers working in psychometrics, educators, and anyone curious about modeling strategies that enhance the precision and validity of their measurement tools. It serves as an introductory guide for beginners while also providing a resource for those seeking an overview of the plethora of available IRT models.
Short Guide to Item Response Theory Models
AvGerhard Tutz
Häftad, Engelska, 2026
671 kr
Skickas inom 10-15 vardagar
This book presents foundational concepts, essential principles, and practical applications of Item Response Theory (IRT). It provides a structured survey of diverse models that have been put forth, emphasizing both their differences and commonalities.The main focus is on modern latent trait theory models which provide measurement tools that clearly separate between person abilities and item parameters. The topics covered include the binary Rasch model, its extensions and alternative binary models, ordinal models and their extensions that account for response styles, the thresholds model, classical test theory, response models for count data, differential item functioning, and explanatory item response models. Tree-based item response models, typically not found in classical IRT textbooks, are also addressed.Applications of the models are illustrated on several data sets from differing areas, showing how models can be fitted and compared. All examples have been computed using R. Code snippets are provided, and the full R code for most of the examples is available online.The book is aimed at graduate students, applied statisticians, and researchers working in psychometrics, educators, and anyone curious about modeling strategies that enhance the precision and validity of their measurement tools. It serves as an introductory guide for beginners while also providing a resource for those seeking an overview of the plethora of available IRT models.
Multivariate statistische Verfahren
AvLudwig Fahrmeir,Alfred Hamerlem. fl.
Inbunden, Tyska, 1996
3 756 kr
Skickas inom 5-8 vardagar
Multivariate statistische Verfahren
AvGerhard Tutz,Alfred Hamerlem. fl.
E-bok
PDF, Tyska, 2015
3 431 kr
Läs direkt efter köp
Modeling Discrete Time-to-Event Data
AvGerhard Tutz,Matthias Schmid
Inbunden, Engelska, 2016
1 224 kr
Skickas inom 10-15 vardagar
This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.
Modeling Discrete Time-to-Event Data
AvMatthias Schmid,Gerhard Tutz
E-bok
PDF, Engelska, 2016
1 587 kr
Läs direkt efter köp
This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.
Modeling Discrete Time-to-Event Data
AvGerhard Tutz,Matthias Schmid
Häftad, Engelska, 2018
1 261 kr
Skickas inom 10-15 vardagar
This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.
Die Analyse Kategorialer Daten
Anwendungsorientierte Einführung in Logit-Modellierung Und Kategoriale Regression
AvGerhard Tutz
Inbunden, Tyska, 2000
634 kr
Skickas inom 5-8 vardagar
Die Analyse kategorialer Daten
Anwendungsorientierte Einführung in Logit-Modellierung und kategoriale Regression
AvGerhard Tutz
E-bok
PDF, Tyska, 2024
625 kr
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Das Werk gibt eine Einführung in die Kategoriale Regression, die auch für Anwender sehr gut geeignet ist. Neben wirtschaftswissenschaftlichen Beispielen, die zahlenmäßig dominieren, finden sich Beispiele aus Biometrie, der medizinischen Statistik, Psychologie und Demographie.
Arbeitsbuch Statistik
AvStefan Lang,Angelika Caputom. fl.
E-bok
PDF, Tyska, 2006
159 kr
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Dieses Arbeitsbuch ergänzt perfekt das Lehrbuch Fahrmeir/Künstler/Pigeot/Tutz: Statistik - Der Weg zur Datenanalyse. Es enthält die Lösungen zu den dort gestellten Aufgaben. Darüber hinaus bietet es eine Reihe weiterer Aufgaben inklusive Lösungen und Computerübungen mit realen Daten. Es dient damit der Vertiefung und der Einübung des im Lehrbuch vermittelten Stoffes zur Wahrscheinlichkeitsrechnung, deskriptiven und induktiven Statistik. Die vierte Auflage ist an das Eurozeitalter angepaßt und enthält viele Verbesserungen.
Statistik
Der Weg zur Datenanalyse
AvGerhard Tutz,Iris Pigeotm. fl.
E-bok
PDF, Tyska, 2006
537 kr
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Das Buch bietet eine integrierte Darstellung der deskriptiven Statistik, moderner Methoden der explorativen Datenanalyse und der induktiven Statistik, einschließlich der Regressions- und Varianzanalyse. Die Darstellung ist auf inhaltliche Motivation, Interpretation und Verständnis der Methoden ausgerichtet. Zahlreiche Beispiele mit realen Daten und Graphiken veranschaulichen den Text. Texthervorhebungen zentraler Aspekte und Stichwörter am Rand erhöhen die Lesbarkeit und Übersichtlichkeit. Das Buch eignet sich als vorlesungsbegleitender Text, aber auch zum Selbststudium für Studenten aus den Bereichen der Wirtschafts- und Sozialwissenschaften, anderen Anwendungsdisziplinen der Statistik sowie als Einführungstext für Studenten der Statistik.
Del 30 - Lehr- und Forschungstexte Psychologie
Latent Trait-Modelle für ordinale Beobachtungen
Die statistische und meßtheoretische Analyse von Paarvergleichsdaten
AvGerhard Tutz
Häftad, Tyska, 1989
560 kr
Skickas inom 10-15 vardagar
Statistik
Der Weg zur Datenanalyse
AvGerhard Tutz,Iris Pigeotm. fl.
E-bok
PDF, Tyska, 2007
329 kr
Läs direkt efter köp
Das Buch bietet eine integrierte Darstellung der deskriptiven Statistik, moderner Methoden der explorativen Datenanalyse und der induktiven Statistik, einschließlich der Regressions- und Varianzanalyse. Die Darstellung ist auf inhaltliche Motivation, Interpretation und Verständnis der Methoden ausgerichtet. Zahlreiche Beispiele mit realen Daten und Graphiken veranschaulichen den Text. Texthervorhebungen zentraler Aspekte und Stichwörter am Rand erhöhen die Lesbarkeit und Übersichtlichkeit. Das Buch eignet sich als vorlesungsbegleitender Text, aber auch zum Selbststudium für Studenten aus den Bereichen der Wirtschafts- und Sozialwissenschaften, anderen Anwendungsdisziplinen der Statistik sowie als Einführungstext für Studenten der Statistik.
Arbeitsbuch Statistik
AvAngelika Caputo,Ludwig Fahrmeirm. fl.
Häftad, Tyska, 2008
435 kr
Skickas inom 11-20 vardagar
Dieses Arbeitsbuch ergänzt perfekt das Lehrbuch Fahrmeir/Künstler/Pigeot/Tutz: Statistik - Der Weg zur Datenanalyse. Es dient damit der Vertiefung und der Einübung des im Lehrbuch vermittelten Stoffes zur Wahrscheinlichkeitsrechnung, deskriptiven und induktiven Statistik.
Arbeitsbuch Statistik
AvGerhard Tutz,Iris Pigeot-Kublerm. fl.
E-bok
PDF, Tyska, 2008
415 kr
Läs direkt efter köp
Dieses Arbeitsbuch ergänzt perfekt das Lehrbuch Fahrmeir/Künstler/Pigeot/Tutz: Statistik - Der Weg zur Datenanalyse. Es bietet eine Fülle von Aufgaben inklusive Lösungen und Computerübungen mit realen Daten. Es dient damit der Vertiefung und der Einübung des im Lehrbuch vermittelten Stoffes zur Wahrscheinlichkeitsrechnung, deskriptiven und induktiven Statistik. Die 5. Auflage enthält eine Reihe neuer Aufgaben, die hauptsächlich in Klausuren verwendet wurden.
Arbeitsbuch Statistik
AvStefan Lang,Angelika Caputom. fl.
E-bok
PDF, Tyska, 2013
542 kr
Läs direkt efter köp
Dieses Arbeitsbuch ergänzt perfekt das Lehrbuch Fahrmeir/Künstler/Pigeot/Tutz: Statistik - Der Weg zur Datenanalyse. Es enthält die Lösungen zu den dort gestellten Aufgaben. Darüber hinaus bietet es eine Reihe weiterer Aufgaben inklusive Lösungen und Computerübungen mit realen Daten. Es dient damit der Vertiefung und der Einübung des im Lehrbuch vermittelten Stoffes zur Wahrscheinlichkeitsrechnung, deskriptiven und induktiven Statistik.
Arbeitsbuch Statistik
AvStefan Lang,Angelika Caputom. fl.
E-bok
PDF, Tyska, 2013
542 kr
Läs direkt efter köp
Dieses Arbeitsbuch ergänzt perfekt das Lehrbuch Fahrmeir/Künstler/Pigeot/Tutz: Statistik - Der Weg zur Datenanalyse. Es enthält die Lösungen zu den dort gestellten Aufgaben. Darüber hinaus bietet es eine Reihe weiterer Aufgaben inklusive Lösungen und Computerübungen mit realen Daten. Es dient damit der Vertiefung und der Einübung des im Lehrbuch vermittelten Stoffes zur Wahrscheinlichkeitsrechnung, deskriptiven und induktiven Statistik.
Arbeitsbuch Statistik
AvStefan Lang,Angelika Caputom. fl.
E-bok
PDF, Tyska, 2013
553 kr
Läs direkt efter köp
Dieses Arbeitsbuch ergänzt perfekt das Lehrbuch Fahrmeir/Künstler/Pigeot/Tutz: Statistik - Der Weg zur Datenanalyse. Es enthält die Lösungen zu den dort gestellten Aufgaben. Darüber hinaus bietet es eine Reihe weiterer Aufgaben inklusive Lösungen und Computerübungen mit realen Daten. Es dient damit der Vertiefung und der Einübung des im Lehrbuch vermittelten Stoffes zur Wahrscheinlichkeitsrechnung, deskriptiven und induktiven Statistik.
Latent Trait-Modelle für ordinale Beobachtungen
Die statistische und meßtheoretische Analyse von Paarvergleichsdaten
AvGerhard Tutz
E-bok
PDF, Tyska, 2013
558 kr
Läs direkt efter köp
Statistik
Der Weg zur Datenanalyse
AvGerhard Tutz,Iris Pigeotm. fl.
E-bok
PDF, Tyska, 2013
542 kr
Läs direkt efter köp
Das Buch bietet eine integrierte Darstellung der deskriptiven Statistik, moderner Methoden der explorativen Datenanalyse und der induktiven Statistik, einschließlich der Regressions- und Varianzanalyse. Die Darstellung ist auf inhaltliche Motivation, Interpretation und Verständnis der Methoden ausgerichtet. Zahlreiche Beispiele mit realen Daten und Graphiken veranschaulichen den Text. Texthervorhebungen zentraler Aspekte und Stichwörter am Rand erhöhen die Lesbarkeit und Übersichtlichkeit.
Statistik
Der Weg zur Datenanalyse
AvGerhard Tutz,Iris Pigeotm. fl.
E-bok
PDF, Tyska, 2013
559 kr
Läs direkt efter köp
Das Buch bietet eine integrierte Darstellung der deskriptiven Statistik, moderner Methoden der explorativen Datenanalyse und der induktiven Statistik, einschließlich der Regressions- und Varianzanalyse. Die Darstellung ist auf inhaltliche Motivation, Interpretation und Verständnis der Methoden ausgerichtet. Zahlreiche Beispiele mit realen Daten und Graphiken veranschaulichen den Text. Texthervorhebungen zentraler Aspekte und Stichwörter am Rand erhöhen die Lesbarkeit und Übersichtlichkeit.
Statistik
Der Weg zur Datenanalyse
AvGerhard Tutz,Iris Pigeotm. fl.
E-bok
PDF, Tyska, 2013
284 kr
Läs direkt efter köp
Das Buch bietet eine integrierte Darstellung der deskriptiven Statistik, moderner Methoden der explorativen Datenanalyse und der induktiven Statistik, einschließlich der Regressions- und Varianzanalyse. Die Darstellung ist auf inhaltliche Motivation, Interpretation und Verständnis der Methoden ausgerichtet. Zahlreiche Beispiele mit realen Daten und Graphiken veranschaulichen den Text. Texthervorhebungen zentraler Aspekte und Stichwörter am Rand erhöhen die Lesbarkeit und Übersichtlichkeit.

Gerhard Tutz – författare

Multivariate Statistical Modelling Based on Generalized Linear Models

Advances in GLIM and Statistical Modelling

Regression for Categorical Data

Multivariate Statistical Modelling Based on Generalized Linear Models

Advances in GLIM and Statistical Modelling

Multivariate Statistical Modelling Based on Generalized Linear Models

Multivariate Statistical Modelling Based on Generalized Linear Models

Short Guide to Item Response Theory Models

Short Guide to Item Response Theory Models

Short Guide to Item Response Theory Models

Multivariate statistische Verfahren

Multivariate statistische Verfahren

Modeling Discrete Time-to-Event Data

Modeling Discrete Time-to-Event Data

Modeling Discrete Time-to-Event Data

Die Analyse Kategorialer Daten

Die Analyse kategorialer Daten

Arbeitsbuch Statistik

Statistik

Latent Trait-Modelle für ordinale Beobachtungen

Statistik

Arbeitsbuch Statistik

Arbeitsbuch Statistik

Arbeitsbuch Statistik

Arbeitsbuch Statistik

Arbeitsbuch Statistik

Latent Trait-Modelle für ordinale Beobachtungen

Statistik

Statistik

Statistik