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Applied regression modeling / / Iain Pardoe
| Applied regression modeling / / Iain Pardoe |
| Autore | Pardoe Iain <1970-> |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (xxi, 310 pages) : illustrations |
| Disciplina | 519.536 |
| Soggetto topico |
Regression analysis
Statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-61590-9
1-119-61588-7 1-119-61594-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910554807703321 |
Pardoe Iain <1970->
|
||
| Hoboken, NJ : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied regression modeling / / Iain Pardoe
| Applied regression modeling / / Iain Pardoe |
| Autore | Pardoe Iain <1970-> |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (xxi, 310 pages) : illustrations |
| Disciplina | 519.536 |
| Soggetto topico |
Regression analysis
Statistics |
| ISBN |
1-119-61590-9
1-119-61588-7 1-119-61594-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910677503403321 |
|
Pardoe Iain <1970->
|
||
| Hoboken, NJ : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied regression modeling / / Iain Pardoe
| Applied regression modeling / / Iain Pardoe |
| Autore | Pardoe Iain <1970-> |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (xxi, 310 pages) : illustrations |
| Disciplina | 519.536 |
| Soggetto topico |
Regression analysis
Statistics |
| ISBN |
1-119-61590-9
1-119-61588-7 1-119-61594-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910807441003321 |
|
Pardoe Iain <1970->
|
||
| Hoboken, NJ : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied regression modeling [[electronic resource] ] : a business approach / / Iain Pardoe
| Applied regression modeling [[electronic resource] ] : a business approach / / Iain Pardoe |
| Autore | Pardoe Iain <1970-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (326 p.) |
| Disciplina |
519.5/36
519.536 |
| Soggetto topico |
Regression analysis
Statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-44598-0
9786613445988 1-118-27441-5 0-470-05265-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied Regression Modeling: A Business Approach; Contents; Preface; Acknowledgments; Introduction; 1.1 Statistics in business; 1.2 Learning statistics; 1 Foundations; 1.1 Identifying and summarizing data; 1.2 Population distributions; 1.3 Selecting individuals at random-probability; 1.4 Random sampling; 1.4.1 Central limit theorem-normal version; 1.4.2 Student's t-distribution; 1.4.3 Central limit theorem-t version; 1.5 Interval estimation; 1.6 Hypothesis testing; 1.6.1 The rejection region method; 1.6.2 The p-value method; 1.6.3 Hypothesis test errors; 1.7 Random errors and prediction
1.8 Chapter summaryProblems; 2 Simple linear regression; 2.1 Probability model for X and Y; 2.2 Least squares criterion; 2.3 Model evaluation; 2.3.1 Regression standard error; 2.3.2 Coefficient of determination-R2; 2.3.3 Slope parameter; 2.4 Model assumptions; 2.4.1 Checking the model assumptions; 2.5 Model interpretation; 2.6 Estimation and prediction; 2.6.1 Confidence interval for the population mean, E(Y); 2.6.2 Prediction interval for an individual Y-value; 2.7 Chapter summary; 2.7.1 Review example; Problems; 3 Multiple linear regression; 3.1 Probability model for (X1 ,X2,...) and Y 3.2 Least squares criterion3.3 Model evaluation; 3.3.1 Regression standard error; 3.3.2 Coefficient of determination-R2; 3.3.3 Regression parameters-global usefulness test; 3.3.4 Regression parameters-nested model test; 3.3.5 Regression parameters-individual tests; 3.4 Model assumptions; 3.4.1 Checking the model assumptions; 3.5 Model interpretation; 3.6 Estimation and prediction; 3.6.1 Confidence interval for the population mean, E(Y); 3.6.2 Prediction interval for an individual Y-value; 3.7 Chapter summary; Problems; 4 Regression model building I; 4.1 Transformations 4.1.1 Natural logarithm transformation for predictors4.1.2 Polynomial transformation for predictors; 4.1.3 Reciprocal transformation for predictors; 4.1.4 Natural logarithm transformation for the response; 4.1.5 Transformations for the response and predictors; 4.2 Interactions; 4.3 Qualitative predictors; 4.3.1 Qualitative predictors with two levels; 4.3.2 Qualitative predictors with three or more levels; 4.4 Chapter summary; Problems; 5 Regression model building II; 5.1 Influential points; 5.1.1 Outliers; 5.1.2 Leverage; 5.1.3 Cook's distance; 5.2 Regression pitfalls; 5.2.1 Autocorrelation 5.2.2 Multicollinearity5.2.3 Excluding important predictor variables; 5.2.4 Overfitting; 5.2.5 Extrapolation; 5.2.6 Missing Data; 5.3 Model building guidelines; 5.4 Model interpretation using graphics; 5.5 Chapter summary; Problems; 6 Case studies; 6.1 Home prices; 6.1.1 Data description; 6.1.2 Exploratory data analysis; 6.1.3 Regression model building; 6.1.4 Results and conclusions; 6.1.5 Further questions; 6.2 Vehicle fuel efficiency; 6.2.1 Data description; 6.2.2 Exploratory data analysis; 6.2.3 Regression model building; 6.2.4 Results and conclusions; 6.2.5 Further questions; 7 Extensions 7.1 Generalized linear models |
| Record Nr. | UNINA-9910139724603321 |
|
Pardoe Iain <1970->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied regression modeling [[electronic resource] ] : a business approach / / Iain Pardoe
| Applied regression modeling [[electronic resource] ] : a business approach / / Iain Pardoe |
| Autore | Pardoe Iain <1970-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (326 p.) |
| Disciplina |
519.5/36
519.536 |
| Soggetto topico |
Regression analysis
Statistics |
| ISBN |
1-283-44598-0
9786613445988 1-118-27441-5 0-470-05265-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied Regression Modeling: A Business Approach; Contents; Preface; Acknowledgments; Introduction; 1.1 Statistics in business; 1.2 Learning statistics; 1 Foundations; 1.1 Identifying and summarizing data; 1.2 Population distributions; 1.3 Selecting individuals at random-probability; 1.4 Random sampling; 1.4.1 Central limit theorem-normal version; 1.4.2 Student's t-distribution; 1.4.3 Central limit theorem-t version; 1.5 Interval estimation; 1.6 Hypothesis testing; 1.6.1 The rejection region method; 1.6.2 The p-value method; 1.6.3 Hypothesis test errors; 1.7 Random errors and prediction
1.8 Chapter summaryProblems; 2 Simple linear regression; 2.1 Probability model for X and Y; 2.2 Least squares criterion; 2.3 Model evaluation; 2.3.1 Regression standard error; 2.3.2 Coefficient of determination-R2; 2.3.3 Slope parameter; 2.4 Model assumptions; 2.4.1 Checking the model assumptions; 2.5 Model interpretation; 2.6 Estimation and prediction; 2.6.1 Confidence interval for the population mean, E(Y); 2.6.2 Prediction interval for an individual Y-value; 2.7 Chapter summary; 2.7.1 Review example; Problems; 3 Multiple linear regression; 3.1 Probability model for (X1 ,X2,...) and Y 3.2 Least squares criterion3.3 Model evaluation; 3.3.1 Regression standard error; 3.3.2 Coefficient of determination-R2; 3.3.3 Regression parameters-global usefulness test; 3.3.4 Regression parameters-nested model test; 3.3.5 Regression parameters-individual tests; 3.4 Model assumptions; 3.4.1 Checking the model assumptions; 3.5 Model interpretation; 3.6 Estimation and prediction; 3.6.1 Confidence interval for the population mean, E(Y); 3.6.2 Prediction interval for an individual Y-value; 3.7 Chapter summary; Problems; 4 Regression model building I; 4.1 Transformations 4.1.1 Natural logarithm transformation for predictors4.1.2 Polynomial transformation for predictors; 4.1.3 Reciprocal transformation for predictors; 4.1.4 Natural logarithm transformation for the response; 4.1.5 Transformations for the response and predictors; 4.2 Interactions; 4.3 Qualitative predictors; 4.3.1 Qualitative predictors with two levels; 4.3.2 Qualitative predictors with three or more levels; 4.4 Chapter summary; Problems; 5 Regression model building II; 5.1 Influential points; 5.1.1 Outliers; 5.1.2 Leverage; 5.1.3 Cook's distance; 5.2 Regression pitfalls; 5.2.1 Autocorrelation 5.2.2 Multicollinearity5.2.3 Excluding important predictor variables; 5.2.4 Overfitting; 5.2.5 Extrapolation; 5.2.6 Missing Data; 5.3 Model building guidelines; 5.4 Model interpretation using graphics; 5.5 Chapter summary; Problems; 6 Case studies; 6.1 Home prices; 6.1.1 Data description; 6.1.2 Exploratory data analysis; 6.1.3 Regression model building; 6.1.4 Results and conclusions; 6.1.5 Further questions; 6.2 Vehicle fuel efficiency; 6.2.1 Data description; 6.2.2 Exploratory data analysis; 6.2.3 Regression model building; 6.2.4 Results and conclusions; 6.2.5 Further questions; 7 Extensions 7.1 Generalized linear models |
| Record Nr. | UNINA-9910677262103321 |
|
Pardoe Iain <1970->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||