Smoothing spline ANOVA models:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Springer
2013
|
| Ausgabe: | 2. ed. |
| Schriftenreihe: | Springer series in statistics
297 |
| Schlagworte: | |
| Online-Zugang: | BTU01 TUM01 UBA01 UBM01 UBT01 UBW01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781461453680 9781461453697 |
| DOI: | 10.1007/978-1-4614-5369-7 |
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Datensatz im Suchindex
| _version_ | 1804150132577402880 |
|---|---|
| adam_text | SMOOTHING SPLINE ANOVA MODELS
/ GU, CHONG
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
MODEL CONSTRUCTION
REGRESSION WITH GAUSSIAN-TYPE RESPONSES
MORE SPLINES
REGRESSION AND EXPONENTIAL FAMILIES
REGRESSION WITH CORRELATED RESPONSES
PROBABILITY DENSITY ESTIMATION
HAZARD RATE ESTIMATION
ASYMPTOTIC CONVERGENCE
PENALIZED PSEUDO LIKELIHOOD
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
SMOOTHING SPLINE ANOVA MODELS
/ GU, CHONG
: 2013
ABSTRACT / INHALTSTEXT
NONPARAMETRIC FUNCTION ESTIMATION WITH STOCHASTIC DATA, OTHERWISE KNOWN
AS SMOOTHING, HAS BEEN STUDIED BY SEVERAL GENERATIONS OF STATISTICIANS.
ASSISTED BY THE AMPLE COMPUTING POWER IN TODAY S SERVERS, DESKTOPS, AND
LAPTOPS, SMOOTHING METHODS HAVE BEEN FINDING THEIR WAYS INTO EVERYDAY
DATA ANALYSIS BY PRACTITIONERS. WHILE SCORES OF METHODS HAVE PROVED
SUCCESSFUL FOR UNIVARIATE SMOOTHING, ONES PRACTICAL IN MULTIVARIATE
SETTINGS NUMBER FAR LESS. SMOOTHING SPLINE ANOVA MODELS ARE A VERSATILE
FAMILY OF SMOOTHING METHODS DERIVED THROUGH ROUGHNESS PENALTIES, THAT
ARE SUITABLE FOR BOTH UNIVARIATE AND MULTIVARIATE PROBLEMS. IN THIS
BOOK, THE AUTHOR PRESENTS A TREATISE ON PENALTY SMOOTHING UNDER A
UNIFIED FRAMEWORK. METHODS ARE DEVELOPED FOR (I) REGRESSION WITH
GAUSSIAN AND NON-GAUSSIAN RESPONSES AS WELL AS WITH CENSORED LIFETIME
DATA; (II) DENSITY AND CONDITIONAL DENSITY ESTIMATION UNDER A VARIETY OF
SAMPLING SCHEMES; AND (III) HAZARD RATE ESTIMATION WITH CENSORED LIFE
TIME DATA AND COVARIATES. THE UNIFYING THEMES ARE THE GENERAL PENALIZED
LIKELIHOOD METHOD AND THE CONSTRUCTION OF MULTIVARIATE MODELS WITH
BUILT-IN ANOVA DECOMPOSITIONS. EXTENSIVE DISCUSSIONS ARE DEVOTED TO
MODEL CONSTRUCTION, SMOOTHING PARAMETER SELECTION, COMPUTATION, AND
ASYMPTOTIC CONVERGENCE
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Gu, Chong |
| author_facet | Gu, Chong |
| author_role | aut |
| author_sort | Gu, Chong |
| author_variant | c g cg |
| building | Verbundindex |
| bvnumber | BV040796726 |
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| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4614-5369-7 |
| edition | 2. ed. |
| format | Electronic eBook |
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| spellingShingle | Gu, Chong Smoothing spline ANOVA models Springer series in statistics Glättung (DE-588)4157404-7 gnd Spline (DE-588)4182391-6 gnd Varianzanalyse (DE-588)4187413-4 gnd |
| subject_GND | (DE-588)4157404-7 (DE-588)4182391-6 (DE-588)4187413-4 |
| title | Smoothing spline ANOVA models |
| title_auth | Smoothing spline ANOVA models |
| title_exact_search | Smoothing spline ANOVA models |
| title_full | Smoothing spline ANOVA models Chong Gu |
| title_fullStr | Smoothing spline ANOVA models Chong Gu |
| title_full_unstemmed | Smoothing spline ANOVA models Chong Gu |
| title_short | Smoothing spline ANOVA models |
| title_sort | smoothing spline anova models |
| topic | Glättung (DE-588)4157404-7 gnd Spline (DE-588)4182391-6 gnd Varianzanalyse (DE-588)4187413-4 gnd |
| topic_facet | Glättung Spline Varianzanalyse |
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