## Abstract This paper extends the work in Lawless, Kalbfleisch, & Wild (1999) on fitting regression models with responseβbiased samples, that is, samples where some or all the covariates are missing for some units and the probability that this happens depends in part on the value of the reponse of
β¦ LIBER β¦
Semiparametric Regression in Size-Biased Sampling
β Scribed by Ying Qing Chen
- Book ID
- 109224195
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 214 KB
- Volume
- 66
- Category
- Article
- ISSN
- 0006-341X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Fitting regression models with response-
β
Alastair J. Scott; Chris J. Wild
π
Article
π
2011
π
John Wiley and Sons
π
French
β 173 KB
Sample size determination in logistic re
β
M. Khorshed Alam; M. Bhaskara Rao; Fu-Chih Cheng
π
Article
π
2010
π
Springer-Verlag
π
English
β 208 KB
Semiparametric likelihood-based inferenc
β
Gang Li; Jing Qin
π
Article
π
1998
π
Blackwell Publishing
π
English
β 316 KB
A Semiparametric Empirical Likelihood Me
β
Xiaofei Wang; Haibo Zhou
π
Article
π
2006
π
John Wiley and Sons
π
English
β 351 KB
Ranked set sampling, coherent rankings a
β
G.P. Patil; A.K. Sinha; C. Taillie
π
Article
π
1997
π
Elsevier Science
π
English
β 619 KB
The paper examines the effect of the set size upon the performance (reciprocal variance t of balanced ranked set sampling for estimation of a population mean. Performance is shown lo be monotone increasing with the set size for the wide class of ranking models that satisfy a property called coherenc
Size-biased sampling of Poisson point pr
β
Mihael Perman; Jim Pitman; Marc Yor
π
Article
π
1992
π
Springer
π
English
β 999 KB