Business analysis using regression : a casebook / Dean P. Foster, Robert A. Stine, Richard P. Waterman |
Autore | FOSTER, Dean P. |
Pubbl/distr/stampa | New York : Springer, c1998 |
Descrizione fisica | XVII, 348 p. : ill. ; 28 cm |
Disciplina | 300.1519536 |
Altri autori (Persone) |
STINE, Robert A.
WATERMAN, Richard P. |
Soggetto topico | Statistica economica |
ISBN | 0-387-98356-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-990005479370203316 |
FOSTER, Dean P. | ||
New York : Springer, c1998 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Correlazione e regressione / Giuseppe A. Micheli, Piero Manfredi |
Autore | Micheli, Giuseppe A. <1948-> |
Edizione | [2. ed.] |
Pubbl/distr/stampa | Milano : Franco Angeli, 1996 |
Descrizione fisica | 234 p. : tab., fig. ; 22 cm |
Disciplina |
300.72
300.1519537 300.1519536 |
Collana | Metodologia delle scienze umane |
Soggetto non controllato | SCIENZE SOCIALI - Ricerca - Metodo statistico |
ISBN | 88-204-9884-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNINA-990003792100403321 |
Micheli, Giuseppe A. <1948-> | ||
Milano : Franco Angeli, 1996 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Introducing Anova and Ancova [[electronic resource] ] : A GLM Approach |
Autore | Rutherford Andrew |
Pubbl/distr/stampa | London, : SAGE Publications, 2000 |
Descrizione fisica | 1 online resource (193 p.) |
Disciplina |
300.1519536
300.1519538 519.5/38 |
Collana | Introducing Statistical Methods series |
Soggetto topico |
Regression analysis
Social sciences -- Statistical methods Analysis of variance Analysis of covariance |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-36930-2
9786610369300 1-4129-3335-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Contents; Chapter 1 - An Introduction to General Linear Models: Regression, Analysis of Variance and Analysis of Covariance; Chapter 2 - Traditional and GLM approaches to independent measures single factor ANOVA designs; Chapter 3 - GLM approaches to independent measures factorial ANOVA designs; Chapter 4 - GLM approaches to repeated measures designs; Chapter 5 - GLM approaches to factorial repeated measures designs; Chapter 6 - The GLM approach to ANCOVA; Chapter 7 - Assumptions underlying ANOVA, traditional ANCOVA and GLMs; Chapter 8 - Some alternatives to traditional ANCOVA
Chapter 9 - Further issues in ANOVA and ANCOVA References; Index |
Record Nr. | UNINA-9910449991103321 |
Rutherford Andrew | ||
London, : SAGE Publications, 2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Introducing Anova and Ancova [[electronic resource] ] : A GLM Approach |
Autore | Rutherford Andrew |
Pubbl/distr/stampa | London, : SAGE Publications, 2000 |
Descrizione fisica | 1 online resource (193 p.) |
Disciplina |
300.1519536
300.1519538 519.5/38 |
Collana | Introducing Statistical Methods series |
Soggetto topico |
Regression analysis
Social sciences -- Statistical methods Analysis of variance Analysis of covariance |
ISBN |
1-280-36930-2
9786610369300 1-4129-3335-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Contents; Chapter 1 - An Introduction to General Linear Models: Regression, Analysis of Variance and Analysis of Covariance; Chapter 2 - Traditional and GLM approaches to independent measures single factor ANOVA designs; Chapter 3 - GLM approaches to independent measures factorial ANOVA designs; Chapter 4 - GLM approaches to repeated measures designs; Chapter 5 - GLM approaches to factorial repeated measures designs; Chapter 6 - The GLM approach to ANCOVA; Chapter 7 - Assumptions underlying ANOVA, traditional ANCOVA and GLMs; Chapter 8 - Some alternatives to traditional ANCOVA
Chapter 9 - Further issues in ANOVA and ANCOVA References; Index |
Record Nr. | UNINA-9910783236303321 |
Rutherford Andrew | ||
London, : SAGE Publications, 2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Modern regression techniques using R : a practical guide for students and researchers / / Daniel B. Wright and Kamala London |
Autore | Wright Daniel B |
Pubbl/distr/stampa | Los Angeles ; ; London, : SAGE, 2009 |
Descrizione fisica | 1 online resource (viii, 204 p.) : ill |
Disciplina | 300.1519536 |
Altri autori (Persone) | LondonKamala |
Soggetto topico |
Regression analysis
Regression analysis - Data processing Social sciences - Statistical methods Free computer software |
ISBN |
1-4462-4410-5
1-283-28914-8 9786613289148 1-4462-0602-5 0-85702-449-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Contents; Preface; 1 Very brief introduction to R; 2 The basic regression; 3 ANOVA as regression; 4 ANCOVA: Lord's paradox and mediation analysis; 5 Model selection and shrinkage; 6 Generalized linear models (GLMs); 7 Regression splines and generalized additive models (GAMs); 8 Multilevel models; 9 Robust regression; 10 Conclusion - make your data cool; Glossary of R functions used in this book; References; Index |
Record Nr. | UNINA-9910788590803321 |
Wright Daniel B | ||
Los Angeles ; ; London, : SAGE, 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Modern regression techniques using R : a practical guide for students and researchers / / Daniel B. Wright and Kamala London |
Autore | Wright Daniel B |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Los Angeles ; ; London, : SAGE, 2009 |
Descrizione fisica | 1 online resource (viii, 204 p.) : ill |
Disciplina | 300.1519536 |
Altri autori (Persone) | LondonKamala |
Soggetto topico |
Regression analysis
Regression analysis - Data processing Social sciences - Statistical methods Free computer software |
ISBN |
1-4462-4410-5
1-283-28914-8 9786613289148 1-4462-0602-5 0-85702-449-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Contents; Preface; 1 Very brief introduction to R; 2 The basic regression; 3 ANOVA as regression; 4 ANCOVA: Lord's paradox and mediation analysis; 5 Model selection and shrinkage; 6 Generalized linear models (GLMs); 7 Regression splines and generalized additive models (GAMs); 8 Multilevel models; 9 Robust regression; 10 Conclusion - make your data cool; Glossary of R functions used in this book; References; Index |
Record Nr. | UNINA-9910807418903321 |
Wright Daniel B | ||
Los Angeles ; ; London, : SAGE, 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Multiple and generalized nonparametric regression / John Fox |
Autore | Fox, John |
Pubbl/distr/stampa | Thousand Oaks : Sage publications, 2000 |
Descrizione fisica | VII, 83 p. ; 22 cm |
Disciplina | 300.1519536 |
Collana | Quantitative applications in the social sciences |
Soggetto non controllato | Scienze sociali - Metodi statistici |
ISBN | 0-7619-2189-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990006951850403321 |
Fox, John | ||
Thousand Oaks : Sage publications, 2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Multiple and generalized nonparametric regression / John Fox |
Autore | Fox, John |
Pubbl/distr/stampa | Thousand Oaks : Sage, 2000 |
Descrizione fisica | 83 p. ; 22 cm |
Disciplina | 300.1519536 |
Collana | Quantitative applications in the social sciences |
Soggetto non controllato |
Manuali generali di consultazione
Scienze sociali - metodi statistici Regressione Statistica non parametrica |
ISBN | 0-7619-2189-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990003828520403321 |
Fox, John | ||
Thousand Oaks : Sage, 2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Semiparametric regression for the social sciences [[electronic resource] /] / Luke Keele |
Autore | Keele Luke <1974-> |
Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 |
Descrizione fisica | 1 online resource (231 p.) |
Disciplina |
300.1519536
519.5/36 519.536 |
Soggetto topico |
Regression analysis
Nonparametric statistics |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-31237-1
9786611312374 0-470-99813-X 0-470-99812-1 |
Classificazione | 31.73 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Semiparametric Regression for the Social Sciences; Contents; List of Tables; List of Figures; Preface; 1 Introduction: Global versus Local Statistics; 1.1 The Consequences of Ignoring Nonlinearity; 1.2 Power Transformations; 1.3 Nonparametric and Semiparametric Techniques; 1.4 Outline of the Text; 2 Smoothing and Local Regression; 2.1 Simple Smoothing; 2.1.1 Local Averaging; 2.1.2 Kernel Smoothing; 2.2 Local Polynomial Regression; 2.3 Nonparametric Modeling Choices; 2.3.1 The Span; 2.3.2 Polynomial Degree andWeight Function; 2.3.3 A Note on Interpretation
2.4 Statistical Inference for Local Polynomial Regression2.5 Multiple Nonparametric Regression; 2.6 Conclusion; 2.7 Exercises; 3 Splines; 3.1 Simple Regression Splines; 3.1.1 Basis Functions; 3.2 Other Spline Models and Bases; 3.2.1 Quadratic and Cubic Spline Bases; 3.2.2 Natural Splines; 3.2.3 B-splines; 3.2.4 Knot Placement and Numbers; 3.2.5 Comparing Spline Models; 3.3 Splines and Over.tting; 3.3.1 Smoothing Splines; 3.3.2 Splines as Mixed Models; 3.3.3 Final Notes on Smoothing Splines; 3.3.4 Thin Plate Splines; 3.4 Inference for Splines; 3.5 Comparisons and Conclusions; 3.6 Exercises 4 Automated Smoothing Techniques4.1 Span by Cross-Validation; 4.2 Splines and Automated Smoothing; 4.2.1 Estimating Smoothing Through the Likelihood; 4.2.2 Smoothing Splines and Cross-Validation; 4.3 Automated Smoothing in Practice; 4.4 Automated Smoothing Caveats; 4.5 Exercises; 5 Additive and Semiparametric Regression Models; 5.1 Additive Models; 5.2 Semiparametric Regression Models; 5.3 Estimation; 5.3.1 Back.tting; 5.4 Inference; 5.5 Examples; 5.5.1 Congressional Elections; 5.5.2 Feminist Attitudes; 5.6 Discussion; 5.7 Exercises; 6 Generalized Additive Models 6.1 Generalized Linear Models6.2 Estimation of GAMS; 6.3 Statistical Inference; 6.4 Examples; 6.4.1 Logistic Regression: The Liberal Peace; 6.4.2 Ordered Logit: Domestic Violence; 6.4.3 Count Models: Supreme Court Overrides; 6.4.4 Survival Models: Race Riots; 6.5 Discussion; 6.6 Exercises; 7 Extensions of the Semiparametric Regression Model; 7.1 Mixed Models; 7.2 Bayesian Smoothing; 7.3 Propensity Score Matching; 7.4 Conclusion; 8 Bootstrapping; 8.1 Classical Inference; 8.2 Bootstrapping - An Overview; 8.2.1 Bootstrapping; 8.2.2 An Example: Bootstrapping the Mean 8.2.3 Bootstrapping Regression Models8.2.4 An Example: Presidential Elections; 8.3 Bootstrapping Nonparametric and Semiparametric Regression Models; 8.3.1 Bootstrapping Nonparametric Fits; 8.3.2 Bootstrapping Nonlinearity Tests; 8.4 Conclusion; 8.5 Exercises; 9 Epilogue; Appendix: Software; Bibliography; Author's Index; Subject Index |
Record Nr. | UNINA-9910144715103321 |
Keele Luke <1974-> | ||
Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Semiparametric regression for the social sciences [[electronic resource] /] / Luke Keele |
Autore | Keele Luke <1974-> |
Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 |
Descrizione fisica | 1 online resource (231 p.) |
Disciplina |
300.1519536
519.5/36 519.536 |
Soggetto topico |
Regression analysis
Nonparametric statistics |
ISBN |
1-281-31237-1
9786611312374 0-470-99813-X 0-470-99812-1 |
Classificazione | 31.73 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Semiparametric Regression for the Social Sciences; Contents; List of Tables; List of Figures; Preface; 1 Introduction: Global versus Local Statistics; 1.1 The Consequences of Ignoring Nonlinearity; 1.2 Power Transformations; 1.3 Nonparametric and Semiparametric Techniques; 1.4 Outline of the Text; 2 Smoothing and Local Regression; 2.1 Simple Smoothing; 2.1.1 Local Averaging; 2.1.2 Kernel Smoothing; 2.2 Local Polynomial Regression; 2.3 Nonparametric Modeling Choices; 2.3.1 The Span; 2.3.2 Polynomial Degree andWeight Function; 2.3.3 A Note on Interpretation
2.4 Statistical Inference for Local Polynomial Regression2.5 Multiple Nonparametric Regression; 2.6 Conclusion; 2.7 Exercises; 3 Splines; 3.1 Simple Regression Splines; 3.1.1 Basis Functions; 3.2 Other Spline Models and Bases; 3.2.1 Quadratic and Cubic Spline Bases; 3.2.2 Natural Splines; 3.2.3 B-splines; 3.2.4 Knot Placement and Numbers; 3.2.5 Comparing Spline Models; 3.3 Splines and Over.tting; 3.3.1 Smoothing Splines; 3.3.2 Splines as Mixed Models; 3.3.3 Final Notes on Smoothing Splines; 3.3.4 Thin Plate Splines; 3.4 Inference for Splines; 3.5 Comparisons and Conclusions; 3.6 Exercises 4 Automated Smoothing Techniques4.1 Span by Cross-Validation; 4.2 Splines and Automated Smoothing; 4.2.1 Estimating Smoothing Through the Likelihood; 4.2.2 Smoothing Splines and Cross-Validation; 4.3 Automated Smoothing in Practice; 4.4 Automated Smoothing Caveats; 4.5 Exercises; 5 Additive and Semiparametric Regression Models; 5.1 Additive Models; 5.2 Semiparametric Regression Models; 5.3 Estimation; 5.3.1 Back.tting; 5.4 Inference; 5.5 Examples; 5.5.1 Congressional Elections; 5.5.2 Feminist Attitudes; 5.6 Discussion; 5.7 Exercises; 6 Generalized Additive Models 6.1 Generalized Linear Models6.2 Estimation of GAMS; 6.3 Statistical Inference; 6.4 Examples; 6.4.1 Logistic Regression: The Liberal Peace; 6.4.2 Ordered Logit: Domestic Violence; 6.4.3 Count Models: Supreme Court Overrides; 6.4.4 Survival Models: Race Riots; 6.5 Discussion; 6.6 Exercises; 7 Extensions of the Semiparametric Regression Model; 7.1 Mixed Models; 7.2 Bayesian Smoothing; 7.3 Propensity Score Matching; 7.4 Conclusion; 8 Bootstrapping; 8.1 Classical Inference; 8.2 Bootstrapping - An Overview; 8.2.1 Bootstrapping; 8.2.2 An Example: Bootstrapping the Mean 8.2.3 Bootstrapping Regression Models8.2.4 An Example: Presidential Elections; 8.3 Bootstrapping Nonparametric and Semiparametric Regression Models; 8.3.1 Bootstrapping Nonparametric Fits; 8.3.2 Bootstrapping Nonlinearity Tests; 8.4 Conclusion; 8.5 Exercises; 9 Epilogue; Appendix: Software; Bibliography; Author's Index; Subject Index |
Record Nr. | UNINA-9910829940503321 |
Keele Luke <1974-> | ||
Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|