|
|
|
|
| LEADER |
01000caa a22002652 4500 |
| 001 |
JST043024858 |
| 003 |
DE-627 |
| 005 |
20240621085651.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
150324s2000 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.2307/1400457
|2 doi
|
| 035 |
|
|
|a (DE-627)JST043024858
|
| 035 |
|
|
|a (JST)1400457
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Andersen, J. S.
|e verfasserin
|4 aut
|
| 245 |
1 |
4 |
|a The Influence of Design Characteristics on Statistical Inference in Nonlinear Estimation: A Simulation Study Based on Survival Data and Hazard Modeling
|
| 264 |
|
1 |
|c 2000
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
| 520 |
|
|
|a This paper describes the influence of design characteristics on the statistical inference for an ecotoxicological hazard-based model using simulated survival data. The design characteristics of interest are the number and spacing of observations (counts) in time, the number and spacing of exposure concentrations (within cmin and cmax), and the initial number of individuals at time 0 in each concentration. A comparison of the coverage probabilities for confidence limits arising from the profile-likelihood approach and the Wald-based approach is carried out. The Wald-based approach is very sensitive to the choice of design characteristics, whereas the profile-likelihood approach is more robust and unbiased. Special attention is paid to estimating a parametric no-effect concentration in realistic small-sample situations since this is the most interesting parameter from an environmental protection point of view.
|
| 540 |
|
|
|a Copyright 2000 American Statistical Association and the International Biometric Society
|
| 650 |
|
4 |
|a Large-sample theory
|
| 650 |
|
4 |
|a No-effect concentration
|
| 650 |
|
4 |
|a Profile likelihood
|
| 650 |
|
4 |
|a Small samples
|
| 650 |
|
4 |
|a Physical sciences
|x Physics
|x Mechanics
|x Classical mechanics
|x Kinetics
|
| 650 |
|
4 |
|a Social sciences
|x Population studies
|x Mortality
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical results
|x Statistical properties
|x Estimate reliability
|x Confidence interval
|x Confidence limits
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical inferences
|
| 650 |
|
4 |
|a Environmental studies
|x Environmental sciences
|x Environmental toxicology
|x Ecotoxicology
|
| 650 |
|
4 |
|a Philosophy
|x Applied philosophy
|x Philosophy of science
|x Scientific method
|x Experimentation
|x Experiment design
|
| 650 |
|
4 |
|a Mathematics
|x Mathematical values
|x Mathematical variables
|x Mathematical independent variables
|
| 650 |
|
4 |
|a Applied sciences
|x Research methods
|x Modeling
|
| 650 |
|
4 |
|a Information science
|x Data products
|x Datasets
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical results
|x Statistical properties
|x Estimate reliability
|x Confidence interval
|
| 655 |
|
4 |
|a research-article
|
| 700 |
1 |
|
|a Bedaux, J. J. M.
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Holst, H.
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t Journal of Agricultural, Biological, and Environmental Statistics
|d Springer Science + Business Media
|g 5(2000), 3, Seite 323-341
|w (DE-627)327130652
|w (DE-600)2043957-X
|x 15372693
|7 nnns
|
| 773 |
1 |
8 |
|g volume:5
|g year:2000
|g number:3
|g pages:323-341
|
| 856 |
4 |
0 |
|u https://www.jstor.org/stable/1400457
|3 Volltext
|
| 856 |
4 |
0 |
|u https://doi.org/10.2307/1400457
|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_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_266
|
| 912 |
|
|
|a GBV_ILN_285
|
| 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_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_2190
|
| 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_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_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 5
|j 2000
|e 3
|h 323-341
|