Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Linda A. Haines"'
Autor:
Linda M. Haines
Publikováno v:
Journal of Statistical Planning and Inference. 220:71-81
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2991b8b794ba300103dae8feed06ca86
https://doi.org/10.1016/j.jspi.2022.02.003
https://doi.org/10.1016/j.jspi.2022.02.003
Autor:
Linda M. Haines
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 26:409-427
This paper is concerned with augmented block designs for unreplicated trials for which the underlying model comprises fixed block and fixed treatment effects. Explicit expressions for the average scaled variances and the maximum variances of estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19bd63f7bcd225649fc33a924d3953f5
https://doi.org/10.1007/s13253-021-00445-3
https://doi.org/10.1007/s13253-021-00445-3
Autor:
Linda M. Haines
Publikováno v:
South African Statistical Journal. 54:177-186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c408affb61097ea00aa12b8ddcfcb4d
https://doi.org/10.37920/sasj.2020.54.2.4
https://doi.org/10.37920/sasj.2020.54.2.4
Autor:
Linda M. Haines
Publikováno v:
Biometrics. 76:540-548
Multinomial N -mixture models are commonly used to fit data from a removal sampling protocol. If the mixing distribution is negative binomial, the distribution of the counts does not appear to have been identified, and practitioners approximate the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3204a79b413b759c4d081bef9797332
https://doi.org/10.1111/biom.13147
https://doi.org/10.1111/biom.13147
Publikováno v:
American Journal of Health-System Pharmacy. 76:530-536
PURPOSE The effectiveness of a systematic, streamlined approach to optimize drug-drug interaction alerts in an electronic health record for a health system was studied. METHODS An 81-week quasi-experimental study was conducted to evaluate interventio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1dcf32bce1bcc1e3293a1d9b6d9f248
https://doi.org/10.1093/ajhp/zxz012
https://doi.org/10.1093/ajhp/zxz012
Autor:
Linda M. Haines, Christien Thiart
Publikováno v:
Spatial Statistics. 50:100580
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0da04be25c00134b7e78403f08f5728
https://doi.org/10.1016/j.spasta.2021.100580
https://doi.org/10.1016/j.spasta.2021.100580
Publikováno v:
Communications in Statistics - Simulation and Computation. 48:1948-1963
In this study, methods for efficient construction of A-, MV-, D- and E-optimal or near-optimal block designs for two-colour cDNA microarray experiments with array as the block effect are co...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4088a8ef9134a3a8bd06789f2274902
https://doi.org/10.1080/03610918.2018.1429617
https://doi.org/10.1080/03610918.2018.1429617
Autor:
Linda M. Haines, R.L.J. Coetzer
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 171:112-124
Mixture experiments in which linear constraints are imposed on the components of the mixture are used extensively in practice. The problem of constructing designs which are in some sense optimal for this experimental setting is not straightforward. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16f80edd2d8af0cd9e812ccaacca6626
https://doi.org/10.1016/j.chemolab.2017.10.007
https://doi.org/10.1016/j.chemolab.2017.10.007
Autor:
Linda M. Haines
Publikováno v:
Journal of Agricultural, Biological, and Environmental Statistics. 21:588-598
In this note, it is shown that the integrated likelihood for the Royle–Nichols model with a Poisson mixing distribution can be expressed as a finite rather than an infinite sum of terms. The advantages which so accrue are discussed and explored by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::799c940717d86ed3c0390b69d0927b32
https://doi.org/10.1007/s13253-016-0253-6
https://doi.org/10.1007/s13253-016-0253-6
Autor:
Christien Thiart, Linda M. Haines
Publikováno v:
Spatial Statistics. 16:152-167
When skewed spatial data are encountered, a common procedure is to invoke lognormal kriging. The resultant naive lognormal predictors are however biased. A family of optimal predictors which address this unbiasedness has been introduced into the lite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a32e8a755080258e2354c99cdd99bf96
https://doi.org/10.1016/j.spasta.2016.03.002
https://doi.org/10.1016/j.spasta.2016.03.002