|
|
|
|
LEADER |
01000caa a22002652 4500 |
001 |
JST052572455 |
003 |
DE-627 |
005 |
20240621205500.0 |
007 |
cr uuu---uuuuu |
008 |
150324s1972 xx |||||o 00| ||eng c |
035 |
|
|
|a (DE-627)JST052572455
|
035 |
|
|
|a (JST)2985181
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
100 |
1 |
|
|a Cox, D. R.
|e verfasserin
|4 aut
|
245 |
1 |
0 |
|a Regression Models and Life-Tables
|
264 |
|
1 |
|c 1972
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
520 |
|
|
|a The analysis of censored failure times is considered. It is assumed that on each individual are available values of one or more explanatory variables. The hazard function (age-specific failure rate) is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time. A conditional likelihood is obtained, leading to inferences about the unknown regression coefficients. Some generalizations are outlined.
|
650 |
|
4 |
|a Life Table
|
650 |
|
4 |
|a Hazard Function
|
650 |
|
4 |
|a Age-Specific Failure Rate
|
650 |
|
4 |
|a Product Limit Estimate
|
650 |
|
4 |
|a Regression
|
650 |
|
4 |
|a Conditional Inference
|
650 |
|
4 |
|a Asymptotic Theory
|
650 |
|
4 |
|a Censored Data
|
650 |
|
4 |
|a Two-Sample Rank Tests
|
650 |
|
4 |
|a Medical Applications
|
650 |
|
4 |
|a Reliability Theory
|
650 |
|
4 |
|a Accelerated Life Tests
|
650 |
|
4 |
|a Social sciences
|x Communications
|x Censorship
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Actuarial science
|x Actuarial cost methods
|x Life tables
|
650 |
|
4 |
|a Information science
|x Information analysis
|x Data analysis
|x Regression analysis
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
|x Continuous probability distributions
|x Density distributions
|x Reliability functions
|
650 |
|
4 |
|a Mathematics
|x Mathematical procedures
|x Approximation
|
650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Probabilities
|x Conditional probabilities
|
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 Mathematics
|x Applied mathematics
|x Statistics
|x Actuarial science
|
650 |
|
4 |
|a Health sciences
|x Health and wellness
|x Public health
|x Epidemiology
|
655 |
|
4 |
|a research-article
|
773 |
0 |
8 |
|i Enthalten in
|t Journal of the Royal Statistical Society. Series B (Methodological)
|d Royal Statistical Society, 1948
|g 34(1972), 2, Seite 187-220
|w (DE-627)30219746X
|w (DE-600)1490719-7
|x 00359246
|7 nnns
|
773 |
1 |
8 |
|g volume:34
|g year:1972
|g number:2
|g pages:187-220
|
856 |
4 |
0 |
|u https://www.jstor.org/stable/2985181
|3 Volltext
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_JST
|
912 |
|
|
|a GBV_ILN_120
|
912 |
|
|
|a GBV_ILN_374
|
912 |
|
|
|a GBV_ILN_380
|
951 |
|
|
|a AR
|
952 |
|
|
|d 34
|j 1972
|e 2
|h 187-220
|