|
|
|
|
| LEADER |
01000caa a22002652 4500 |
| 001 |
JST045798745 |
| 003 |
DE-627 |
| 005 |
20240621114905.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
150324s2003 xx |||||o 00| ||eng c |
| 035 |
|
|
|a (DE-627)JST045798745
|
| 035 |
|
|
|a (JST)1391044
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Bellio, Ruggero
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Higher Order Asymptotics Unleashed: Software Design for Nonlinear Heteroscedastic Regression
|
| 264 |
|
1 |
|c 2003
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
| 520 |
|
|
|a One of the main criticisms against the use of higher order asymptotics is that the algebraic expressions involved are far too complex to be derived by hand in a reasonable amount of time. A further drawback is that the results are so closely tuned to the specific problem at hand that they almost always exclude the possibility of transferring available computer code to a different though similar problem. The aim of this article is to show that higher order asymptotics can be implemented in a general and flexible way so as to provide easy-to-use and self-contained software useful in routine data analysis. The programming strategy we develop easily applies to many parametric models. We illustrate it by describing the design of the core routines of the nlreg section of the S-Plus library HOA which implements higher order solutions for nonlinear heteroscedastic regression models.
|
| 540 |
|
|
|a Copyright 2003 American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America
|
| 650 |
|
4 |
|a Asymptotic theory
|
| 650 |
|
4 |
|a Higher order solution
|
| 650 |
|
4 |
|a Symbolic computation
|
| 650 |
|
4 |
|a S-Plus
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Statistical variance
|
| 650 |
|
4 |
|a Behavioral sciences
|x Anthropology
|x Applied anthropology
|x Cultural anthropology
|x Cultural institutions
|x Libraries
|
| 650 |
|
4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Thought processes
|x Reasoning
|x Inference
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical models
|x Parametric models
|
| 650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Algebra
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Analytical estimating
|x Maximum likelihood estimation
|
| 650 |
|
4 |
|a Applied sciences
|x Computer science
|x Computer engineering
|x Computer software
|x Computer algebra systems
|
| 650 |
|
4 |
|a Mathematics
|x Mathematical values
|x Mathematical variables
|x Mathematical independent variables
|
| 650 |
|
4 |
|a Information science
|x Information analysis
|x Data analysis
|
| 655 |
|
4 |
|a research-article
|
| 700 |
1 |
|
|a Brazzale, Alessandra R.
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t Journal of Computational and Graphical Statistics
|d American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America, 1992
|g 12(2003), 3, Seite 682-697
|w (DE-627)320519414
|w (DE-600)2014382-5
|x 15372715
|7 nnns
|
| 773 |
1 |
8 |
|g volume:12
|g year:2003
|g number:3
|g pages:682-697
|
| 856 |
4 |
0 |
|u https://www.jstor.org/stable/1391044
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_JST
|
| 912 |
|
|
|a GBV_ILN_11
|
| 912 |
|
|
|a GBV_ILN_20
|
| 912 |
|
|
|a GBV_ILN_22
|
| 912 |
|
|
|a GBV_ILN_23
|
| 912 |
|
|
|a GBV_ILN_24
|
| 912 |
|
|
|a GBV_ILN_31
|
| 912 |
|
|
|a GBV_ILN_39
|
| 912 |
|
|
|a GBV_ILN_40
|
| 912 |
|
|
|a GBV_ILN_60
|
| 912 |
|
|
|a GBV_ILN_62
|
| 912 |
|
|
|a GBV_ILN_63
|
| 912 |
|
|
|a GBV_ILN_65
|
| 912 |
|
|
|a GBV_ILN_69
|
| 912 |
|
|
|a GBV_ILN_70
|
| 912 |
|
|
|a GBV_ILN_90
|
| 912 |
|
|
|a GBV_ILN_100
|
| 912 |
|
|
|a GBV_ILN_101
|
| 912 |
|
|
|a GBV_ILN_110
|
| 912 |
|
|
|a GBV_ILN_120
|
| 912 |
|
|
|a GBV_ILN_224
|
| 912 |
|
|
|a GBV_ILN_285
|
| 912 |
|
|
|a GBV_ILN_370
|
| 912 |
|
|
|a GBV_ILN_374
|
| 912 |
|
|
|a GBV_ILN_702
|
| 912 |
|
|
|a GBV_ILN_2001
|
| 912 |
|
|
|a GBV_ILN_2003
|
| 912 |
|
|
|a GBV_ILN_2005
|
| 912 |
|
|
|a GBV_ILN_2006
|
| 912 |
|
|
|a GBV_ILN_2007
|
| 912 |
|
|
|a GBV_ILN_2008
|
| 912 |
|
|
|a GBV_ILN_2009
|
| 912 |
|
|
|a GBV_ILN_2010
|
| 912 |
|
|
|a GBV_ILN_2011
|
| 912 |
|
|
|a GBV_ILN_2014
|
| 912 |
|
|
|a GBV_ILN_2015
|
| 912 |
|
|
|a GBV_ILN_2018
|
| 912 |
|
|
|a GBV_ILN_2020
|
| 912 |
|
|
|a GBV_ILN_2021
|
| 912 |
|
|
|a GBV_ILN_2026
|
| 912 |
|
|
|a GBV_ILN_2027
|
| 912 |
|
|
|a GBV_ILN_2034
|
| 912 |
|
|
|a GBV_ILN_2044
|
| 912 |
|
|
|a GBV_ILN_2050
|
| 912 |
|
|
|a GBV_ILN_2056
|
| 912 |
|
|
|a GBV_ILN_2057
|
| 912 |
|
|
|a GBV_ILN_2061
|
| 912 |
|
|
|a GBV_ILN_2088
|
| 912 |
|
|
|a GBV_ILN_2107
|
| 912 |
|
|
|a GBV_ILN_2110
|
| 912 |
|
|
|a GBV_ILN_2111
|
| 912 |
|
|
|a GBV_ILN_2129
|
| 912 |
|
|
|a GBV_ILN_2190
|
| 912 |
|
|
|a GBV_ILN_2507
|
| 912 |
|
|
|a GBV_ILN_2938
|
| 912 |
|
|
|a GBV_ILN_2947
|
| 912 |
|
|
|a GBV_ILN_2949
|
| 912 |
|
|
|a GBV_ILN_2950
|
| 912 |
|
|
|a GBV_ILN_4012
|
| 912 |
|
|
|a GBV_ILN_4035
|
| 912 |
|
|
|a GBV_ILN_4037
|
| 912 |
|
|
|a GBV_ILN_4046
|
| 912 |
|
|
|a GBV_ILN_4112
|
| 912 |
|
|
|a GBV_ILN_4125
|
| 912 |
|
|
|a GBV_ILN_4126
|
| 912 |
|
|
|a GBV_ILN_4242
|
| 912 |
|
|
|a GBV_ILN_4251
|
| 912 |
|
|
|a GBV_ILN_4305
|
| 912 |
|
|
|a GBV_ILN_4306
|
| 912 |
|
|
|a GBV_ILN_4307
|
| 912 |
|
|
|a GBV_ILN_4313
|
| 912 |
|
|
|a GBV_ILN_4322
|
| 912 |
|
|
|a GBV_ILN_4323
|
| 912 |
|
|
|a GBV_ILN_4324
|
| 912 |
|
|
|a GBV_ILN_4325
|
| 912 |
|
|
|a GBV_ILN_4335
|
| 912 |
|
|
|a GBV_ILN_4346
|
| 912 |
|
|
|a GBV_ILN_4392
|
| 912 |
|
|
|a GBV_ILN_4393
|
| 912 |
|
|
|a GBV_ILN_4700
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 12
|j 2003
|e 3
|h 682-697
|