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Applied regression including computing and graphics [[electronic resource] /] / R. Dennis Cook, Sanford Weisberg
| Applied regression including computing and graphics [[electronic resource] /] / R. Dennis Cook, Sanford Weisberg |
| Autore | Cook R. Dennis |
| Pubbl/distr/stampa | New York, : Wiley, 1999 |
| Descrizione fisica | 1 online resource (632 p.) |
| Disciplina |
519.5
519.536 |
| Altri autori (Persone) | WeisbergSanford <1947-> |
| Collana | Wiley series in probability and statistics. Texts and references section |
| Soggetto topico |
Regression analysis
Multivariate analysis |
| ISBN |
1-282-30751-7
9786612307515 0-470-31694-2 0-470-31778-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied Regression Including Computing and Graphics; Contents; Preface; PART I INTRODUCTION; 1 Looking Forward and Back; 1.1 Example: Haystack Data; 1.2 Example: Bluegill Data; 1.3 Loading Data into Arc; 1.4 Numerical Summaries; 1.4.1 Display Summaries; 1.4.2 Command Line; 1.4.3 Displaying Data; 1.4.4 Saving Output to a File and Printing; 1 .5 Graphical Summaries; 1.5.1Histograms; 1.5.2 Boxplots; 1.6.Bringing in the Population; 1.6. I The Density Function; 1.6.2 Normal Distribution; I .6.3 Computing Normal Quantiles; 1.6.4 Computing Normal Probabilities; 1.6.5 Boxplots of Normal Data
1.6.6 The Sampling Distribution of the Mean1.7 Inference; 1.7.1 Sample Mean; 1.7.2 Confidence Interval for the Mean; 1.7.3 Probability of a Record Bluegill; 1.8 Complements; Problems; 2 Introduction to Regression; 2.1 Using Boxplots to Study Length \ Age; 2.2 Using a Scatterplot to Study Length \ Age; 2.3 Mouse Modes; 2.3.1 Show Coordinates Mouse Mode; 2.3.2 Slicing Mode; 2.3.3 Brushing Mode; 2.4 Characterizing Length\ Age; 2.5 Mean and Variance Functions; 2.5.1 Mean Function; 2.5.2 Variance Function; 2.6 Highlights; 2.7 Complements; Problems; 3 Introduction to Smoothing 3.1 Slicing a Scatterplot3.2 Estimating E(y I x) by Slicing; 3.3 Estimating E(y Ix) by Smoothing; 3.4 Checking a Theory; 3.5 Boxplots; 3.6 Snow Geese; 3.6.1 Snow Goose Regression; 3.6.2 Mean Function; 3.6.3 Variance Function; 3.7 Complements; Problems; 4 Bivariate Distributions; 4.1 General Bivariate Distributions; 4.1.1 Bivariate Densities; 4.1.2 Connecting with Regression; 4.1.3 Independence; 4.1.4 Covariance; 4.1.5 Correlation Coefficient; 4.2 Bivariate Normal Distribution; 4.2.1 Correlation Coefficient in Normal Populations; 4.2.2 Correlation Coefficient in Non-normal Populations 4.3.Regression in Bivariate Normal Populations4.3.1 Mean Function; 4.3.2 Mean Function in Standardized Variables; 4.3.3 Mean Function as a Straight Line; 4.3.4 Variance Function; 4.4 Smoothing Bivariate Normal Data; 4.5 Complements; 4.5.1 Confidence Interval for a Correlation; 4.5.2 References; Problems; 5 Two-Dimensional Plots; 5.1 Aspect Ratio and Focusing; 5.2 Power Transformations; 5.3 Thinking about Power Transformations; 5.4 Log Transformations; 5.5 Showing Labels and Coordinates; 5.6 Linking Plots; 5.7 Point Symbols and Colors; 5.8 Brushing; 5.9 Name Lists; 5.10 Probability Plots 5.11 ComplementsProblems; PART II. TOOLS; 6 Simple Linear Regression; 6.1 Simple Linear Regression; 6.2 Least Squares Estimation; 6.2.1 Notation; 6.2.2 The Least Squares Criterion; 6.2.3 Ordinary Least Squares Estimators; 6.2.4 More on Sample Correlation; 6.2.5 Some Properties of Least Squares Estimates; 6.2.6 Estimating the Common Variance, (T*; 6.2.7 Summary; 6.3 Using Arc; 6.3.1 Interpreting the Intercept; 6.4 Inference; 6.4.1 Inferences about Parameters; 6.4.2 Estimating Population Means; 6.4.3 Prediction; 6.5 Forbes' Experiments, Revisited; 6.6 Model Comparison; 6.6.1 Models 6.6.2 Analysis of Variance |
| Record Nr. | UNINA-9910841171503321 |
Cook R. Dennis
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| New York, : Wiley, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 / Iain Pardoe
| Applied regression modeling / Iain Pardoe |
| Autore | Pardoe, Iain <1970- > |
| Edizione | [2nd ed] |
| Pubbl/distr/stampa | Hoboken, NJ : Wiley, 2012 |
| Descrizione fisica | xx, 325 p. : ill. ; 26 cm |
| Disciplina | 519.536 |
| Soggetto non controllato | Statistica |
| ISBN | 978-1-118-09728-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990009959170403321 |
|
Pardoe, Iain <1970- >
|
||
| Hoboken, NJ : Wiley, 2012 | ||
| 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 | ||
| ||
Applied regression modeling : a business approach / Iain Pardoe
| Applied regression modeling : a business approach / Iain Pardoe |
| Autore | Pardoe, Iain |
| Pubbl/distr/stampa | Hoboken, N.J. : Wiley-Interscience, c2006 |
| Descrizione fisica | xx, 303 p. : ill. ; 26 cm |
| Disciplina | 519.536 |
| Soggetto topico | Analisi della regressione |
| ISBN |
0471970336
9780471970330 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991002093989707536 |
|
Pardoe, Iain
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||
| Hoboken, N.J. : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Applied smoothing techniques for data analysis : the Kernel approach with S-plus illustrations / Adrian W. Bowman and Adelchi Azzalini
| Applied smoothing techniques for data analysis : the Kernel approach with S-plus illustrations / Adrian W. Bowman and Adelchi Azzalini |
| Autore | Bowman, Adrian W. |
| Pubbl/distr/stampa | Oxford Clarendon press : Clarendon press, 1997 |
| Descrizione fisica | x, 193 p. ; 24 cm |
| Disciplina | 519.536 |
| Altri autori (Persone) | Azzalini, Adelchi |
| Collana | Oxford statistical science series |
| Soggetto non controllato |
Inferenza statistica
Inferenza non parametrica Statistica non parametrica |
| ISBN | 01-985239-6-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990003740180403321 |
|
Bowman, Adrian W.
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| Oxford Clarendon press : Clarendon press, 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Asymptotic theory of nonlinear regression / by Alexander V. Ivanov
| Asymptotic theory of nonlinear regression / by Alexander V. Ivanov |
| Autore | IVANOV, Alexander V. |
| Pubbl/distr/stampa | Dordrecht [etc.] : Kluwer, 1997 |
| Descrizione fisica | VI, 327 p. ; 25 cm |
| Disciplina | 519.536 |
| Collana | Mathematics and its applications |
| Soggetto topico | Regressione lineare |
| ISBN | 0-7923-4335-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990005487840203316 |
|
IVANOV, Alexander V.
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| Dordrecht [etc.] : Kluwer, 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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