| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910460354503321 |
|
|
Titolo |
Protean selves : first-person voices in twenty-first-century french and francophone / / edited by Adrienne Angelo and Erika Fülöp ; contributors, Jean Anderson [and thirteen others] |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Newcastle upon Tyne, England : , : Cambridge Scholars Publishing, , 2014 |
|
©2014 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (211 p.) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
First person narrative |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
|
|
|
|
|
Nota di contenuto |
|
TABLE OF CONTENTS; ACKNOWLEDGEMENTS; INTRODUCTION; SECTION I; CHAPTER ONE; CHAPTER TWO; CHAPTER THREE; CHAPTER FOUR; SECTION II; CHAPTER FIVE; CHAPTER SIX; CHAPTER SEVEN; SECTION III; CHAPTER EIGHT; CHAPTER NINE; CHAPTER TEN; CHAPTER ELEVEN; SECTION IV; CHAPTER TWELVE; CHAPTER THIRTEEN; CONTRIBUTORS; INDEX |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
What does it mean to write ""I"" in postmodern society, in a world in which technological advances and increased globalization have complicated notions of authenticity, origins, and selfhood? Under what circumstances and to what extent do authors lend their scriptural authority to fictional counterparts? What role does naming, or, conversely, anonymity play vis-à-vis the writing and written ""I""? What aspects of identity are subject to (auto)fictional manipulations? And how do these complicated ... |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910143420503321 |
|
|
Autore |
Takezawa Kunio <1959-> |
|
|
Titolo |
Introduction to nonparametric regression [[electronic resource] /] / Kunio Takezawa |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Hoboken, N.J., : Wiley-Interscience, c2006 |
|
|
|
|
|
|
|
ISBN |
|
1-280-28698-9 |
9786610286980 |
0-470-36261-8 |
0-471-77145-7 |
0-471-77144-9 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (566 p.) |
|
|
|
|
|
|
Collana |
|
Wiley series in probability and statistics |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Regression analysis |
Nonparametric statistics |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (p. 529-531) and index. |
|
|
|
|
|
|
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 |
|
|
|
|
|
|
Sommario/riassunto |
|
An easy-to-grasp introduction to nonparametric regressionThis book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features:* Thorough explanations of various techniques, which avoid complex mathematics and excessive abstract theory to help readers intuitively grasp the value of nonparametric regression methods* Statistical techniques accompanied by clear numerical examples that fur |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3. |
Record Nr. |
UNINA9910555003103321 |
|
|
Titolo |
Surface modification of polymers : methods and applications / / edited by Jean Pinson and Damien Thiry |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Weinheim, Germany : , : Wiley-VCH, , [2020] |
|
©2020 |
|
|
|
|
|
|
|
|
|
ISBN |
|
3-527-81923-1 |
1-5231-3330-9 |
3-527-81924-X |
3-527-81921-5 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (460 pages) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Polymers - Surfaces |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
| |