IEEE Std 101A-1974 : IEEE simplified method for calculation of the regression line (Appendix to IEEE Guide for the Statistical Analysis of Thermal Life Test Data, IEEE Std 101-1972) / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | New York : , : IEEE, , 1973 |
Descrizione fisica | 1 online resource (4 pages) |
Disciplina | 519.536 |
Soggetto topico |
Regression analysis
Product life cycle |
ISBN | 1-5044-0142-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
101A-1974 - IEEE Simplified Method for Calculation of the Regression Line
IEEE Simplified Method for Calculation of the Regression Line IEEE Std 101A-1974 |
Record Nr. | UNINA-9910137550103321 |
New York : , : IEEE, , 1973 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
IEEE Std 101A-1974 : IEEE simplified method for calculation of the regression line (Appendix to IEEE Guide for the Statistical Analysis of Thermal Life Test Data, IEEE Std 101-1972) / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | New York : , : IEEE, , 1973 |
Descrizione fisica | 1 online resource (4 pages) |
Disciplina | 519.536 |
Soggetto topico |
Regression analysis
Product life cycle |
ISBN | 1-5044-0142-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
101A-1974 - IEEE Simplified Method for Calculation of the Regression Line
IEEE Simplified Method for Calculation of the Regression Line IEEE Std 101A-1974 |
Record Nr. | UNISA-996280660303316 |
New York : , : IEEE, , 1973 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Interaction effects in logistic regression / James Jaccard |
Autore | Jaccard, James |
Pubbl/distr/stampa | Thousand Oaks : Sage, 2001 |
Descrizione fisica | 70 p. ; 22 cm |
Disciplina | 519.536 |
Collana | Quantitative applications in the social sciences |
Soggetto non controllato |
Manuali generali di consultazione
Serie Regressione logistica |
ISBN | 0-7619-2207-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990003828490403321 |
Jaccard, James | ||
Thousand Oaks : Sage, 2001 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Interpretability of computational intelligence-based regression models [[electronic resource] /] / by Tamás Kenesei, János Abonyi |
Autore | Kenesei Tamás |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (89 p.) |
Disciplina | 519.536 |
Collana | SpringerBriefs in Computer Science |
Soggetto topico |
Artificial intelligence
Computational intelligence Data mining Artificial Intelligence Computational Intelligence Data Mining and Knowledge Discovery |
ISBN | 3-319-21942-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Interpretability of Hinging Hyperplanes -- Interpretability of Neural Networks -- Interpretability of Support Vector Machines -- Summary. |
Record Nr. | UNINA-9910299198603321 |
Kenesei Tamás | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Introduction to linear regression analysis / / Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining ; prepared by Ann G. Ryan |
Autore | Montgomery Douglas C. |
Edizione | [Fifth edition.] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2013 |
Descrizione fisica | 1 online resource : illustrations |
Disciplina | 519.536 |
Soggetto topico | Regression analysis |
Soggetto genere / forma | Electronic books. |
ISBN |
1-118-64076-4
1-118-64080-2 1-118-54850-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Half Title page; Title page; Copyright page; Preface; Chapter 2: Simple Linear Regression; Chapter 3: Multiple Linear Regression; Chapter 4: Model Adequacy Checking; Chapter 5: Transformations and Weighting to Correct Model Inadequacies; Chapter 6: Diagnostics for Leverage and Influence; Chapter 7: Polynomial Regression Models; Chapter 8: Indicator Variables; Chapter 9: Multicollinearity; Chapter 10: Variable Selection and Model Building; Chapter 11: Validation of Regression Models; Chapter 12: Introduction to Nonlinear Regression; Chapter 13: Generalized Linear Models
Chapter 14: Regression Analysis of Time Series DataChapter 15: Other Topics in the Use of Regression Analysis |
Record Nr. | UNINA-9910463195403321 |
Montgomery Douglas C. | ||
Hoboken, New Jersey : , : Wiley, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Introduction to linear regression analysis / Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining |
Autore | Montgomery, Douglas C. |
Edizione | [5th ed.] |
Pubbl/distr/stampa | Hoboken, NJ : Wiley, 2012 |
Descrizione fisica | xvi, 645 p. : ill. ; 27 cm |
Disciplina | 519.536 |
Altri autori (Persone) |
Peck, Elizabeth A.
Vining, G. Geoffrey |
Collana | Wiley series in probability and statistics |
Soggetto non controllato | Analisi delle regressioni |
ISBN | 978-0-470-54281-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990009758960403321 |
Montgomery, Douglas C. | ||
Hoboken, NJ : Wiley, 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Introduction to linear regression analysis / Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining |
Autore | MONTGOMERY, Douglas C. |
Edizione | [4. ed] |
Pubbl/distr/stampa | New York : Wiley-interscience, 2006 |
Descrizione fisica | XI, 612 p. ; 26 cm |
Disciplina | 519.536(Analisi della regressione) |
Altri autori (Persone) |
VINING, Geoffrey G.
PACK, Elizabeth A. |
Collana | Wiley series in probability and statistics |
Soggetto topico | Analisi della regressione |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-990005547120203316 |
MONTGOMERY, Douglas C. | ||
New York : Wiley-interscience, 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Introduction to linear regression analysis / Douglas C. Montgomery, Elizabeth A. Peck |
Autore | Montgomery, Douglas C |
Pubbl/distr/stampa | New York [etc.] : Wiley, c1982 |
Descrizione fisica | xiii, 504 p. ; 23 cm |
Disciplina | 519.536 |
Altri autori (Persone) | Peck, Elizabeth A |
Collana | Wiley series in probability and mathematical statistics |
Soggetto topico |
Analisi della regressione
Statistica matematica |
ISBN | 0471058505 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000578729707536 |
Montgomery, Douglas C | ||
New York [etc.] : Wiley, c1982 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
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An introduction to linear regression and correlation / Allen L. Edwards |
Autore | Edwards, Allen Louis |
Edizione | [2nd ed] |
Pubbl/distr/stampa | New York : W. H. Freeman, c1984 |
Descrizione fisica | xv, 206 p. : ill. ; 24 cm. |
Disciplina | 519.536 |
Collana | A Series of books in psychology |
Soggetto topico |
Correlation (Statistics)
Regression analysis |
ISBN | 0716715945 |
Classificazione |
AMS 65J
QA278.2.E3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991001020129707536 |
Edwards, Allen Louis | ||
New York : W. H. Freeman, c1984 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
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Introduction to nonparametric regression [[electronic resource] /] / Kunio Takezawa |
Autore | Takezawa Kunio <1959-> |
Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
Descrizione fisica | 1 online resource (566 p.) |
Disciplina |
519.5/36
519.536 |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Regression analysis
Nonparametric statistics |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-28698-9
9786610286980 0-470-36261-8 0-471-77145-7 0-471-77144-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
INTRODUCTION TO NONPARAMETRIC REGRESSION; CONTENTS; Preface; Acknowledgments; 1 Exordium; 1.1 Introduction; 1.2 Are the moving average and Fourier series sufficiently useful?; 1.3 Is a histogram or normal distribution sufficiently powerful?; 1.4 Is interpolation sufficiently powerful?; 1.5 Should we use a descriptive equation?; 1.6 Parametric regression and nonparametric regression; 2 Smoothing for data with an equispaced predictor; 2.1 Introduction; 2.2 Moving average and binomial filter; 2.3 Hat matrix; 2.4 Local linear regression; 2.5 Smoothing spline
2.6 Analysis on eigenvalue of hat matrix2.7 Examples of S-Plus object; References; Problems; 3 Nonparametric regression for one-dimensional predictor; 3.1 Introduction; 3.2 Trade-off between bias and variance; 3.3 Index to select beneficial regression equations; 3.4 Nadaraya-Watson estimator; 3.5 Local polynomial regression; 3.6 Natural spline and smoothing spline; 3.7 LOESS; 3.8 Supersmoother; 3.9 LOWESS; 3.10 Examples of S-Plus object; References; Problems; 4 Multidimensional smoothing; 4.1 Introduction; 4.2 Local polynomial regression for multidimensional predictor 4.3 Thin plate smoothing splines4.4 LOESS and LOWESS with plural predictors; 4.5 Kriging; 4.6 Additive model; 4.7 ACE; 4.8 Projection pursuit regression; 4.9 Examples of S-Plus object; References; Problems; 5 Nonparametric regression with predictors represented as distributions; 5.1 Introduction; 5.2 Use of distributions as predictors; 5.3 Nonparametric DVR method; 5.4 Form of nonparametric regression with predictors represented as distributions; 5.5 Examples of S-Plus object; References; Problems; 6 Smoothing of histograms and nonparametric probability density functions; 6.1 Introduction 6.2 Histogram6.3 Smoothing a histogram; 6.4 Nonparametnc probability density function; 6.5 Examples of S-Plus object; References; Problems; 7 Pattern recognition; 7.1 Introduction; 7.2 Bayes' decision rule; 7.3 Linear discriminant rule and quadratic discriminant rule; 7.4 Classification using nonparametric probability density function; 7.5 Logistic regression; 7.6 Neural networks; 7.7 Tree-based model; 7.8 k-nearest-neighbor classifier; 7.9 Nonparametric regression based on the least squares; 7.10 Transformation of feature vectors; 7.11 Examples of S-Plus object; References; Problems Appendix A: Creation and applications of B-spline basesA.1 Introduction; A.2 Method to create B-spline basis; A.3 Natural spline created by B-spline; A.4 Application to smoothing spline; A.5 Examples of S-Plus object; References; Appendix B: R objects; B.1 Introduction; B.2 Transformation of S-Plus objects in Chapter 2; B.3 Transformation of S-Plus objects in Chapter 3; B.4 Transformation of S-Plus objects in Chapter 4; B.5 Transformation of S-Plus objects in Chapter 5; B.6 Transformation of S-Plus objects in Chapter 6; B.7 Transformation of S-Plus objects in Chapter 7 B.8 Transformation of S-Plus objects in Appendix A |
Record Nr. | UNINA-9910143420503321 |
Takezawa Kunio <1959-> | ||
Hoboken, N.J., : Wiley-Interscience, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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