|
|
|
|
| LEADER |
01000caa a22002652 4500 |
| 001 |
JST04404450X |
| 003 |
DE-627 |
| 005 |
20240705203624.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
150324s1982 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.2307/2287326
|2 doi
|
| 035 |
|
|
|a (DE-627)JST04404450X
|
| 035 |
|
|
|a (JST)2287326
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Carroll, Raymond J.
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Prediction and Power Transformations when the Choice of Power is Restricted to a Finite Set
|
| 264 |
|
1 |
|c 1982
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
| 520 |
|
|
|a We study the family of power transformations proposed by Box and Cox (1964) when the choice of the power parameter λ is restricted to a finite set Ω<sub>R</sub>. The behavior of the Box-Cox procedure is as anticipated in two extreme cases: when the true parameter λ is an element of Ω<sub>R</sub> and when λ is "far" from Ω<sub>R</sub>. We study the case in which λ<sub>0</sub> is "close" to Ω<sub>R</sub>, finding that the resulting methods can be very different from unrestricted maximum likelihood and that inferences may depend on the design, the values of the regression parameters, and the distance of λ to Ω<sub>R</sub>.
|
| 650 |
|
4 |
|a Box-Cox family
|
| 650 |
|
4 |
|a Contiguity
|
| 650 |
|
4 |
|a Asymptotic theory
|
| 650 |
|
4 |
|a Regression
|
| 650 |
|
4 |
|a Conditional median
|
| 650 |
|
4 |
|a Response surface
|
| 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 Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|x Estimators
|
| 650 |
|
4 |
|a Business
|x Business operations
|x Commerce
|x Purchasing
|x Cost estimates
|
| 650 |
|
4 |
|a Mathematics
|x Mathematical expressions
|x Mathematical functions
|x Transcendental functions
|x Logarithms
|
| 650 |
|
4 |
|a Mathematics
|x Mathematical values
|x Critical values
|x Extrema
|x Mathematical minima
|x Minimum value
|
| 650 |
|
4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Memory
|x Memory interference
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Analytical estimating
|
| 650 |
|
4 |
|a Philosophy
|x Applied philosophy
|x Philosophy of science
|x Metascience
|x Contiguity
|
| 650 |
|
4 |
|a Information science
|x Information analysis
|x Data analysis
|x Regression analysis
|x Linear regression
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|x Theory and Methods
|
| 655 |
|
4 |
|a research-article
|
| 773 |
0 |
8 |
|i Enthalten in
|t Journal of the American Statistical Association
|d American Statistical Association, 1922
|g 77(1982), 380, Seite 908-915
|w (DE-627)JST043979041
|x 1537274X
|7 nnns
|
| 773 |
1 |
8 |
|g volume:77
|g year:1982
|g number:380
|g pages:908-915
|
| 856 |
4 |
0 |
|u https://www.jstor.org/stable/2287326
|3 Volltext
|
| 856 |
4 |
0 |
|u https://doi.org/10.2307/2287326
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_JST
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 77
|j 1982
|e 380
|h 908-915
|