Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Donald A. Best"'
Autor:
J. C. W. Rayner, Donald John Best
Publikováno v:
Stats
Volume 1
Issue 1
Volume 1
Issue 1
We consider the little-known one parameter Lindley distribution. This distribution may be of interest as it appears to be more flexible than the exponential distribution, the Lindley fitting more data than the exponential. We give smooth tests of fit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6745fde5b28137efd9cdb11e67f8eeed
https://doi.org/10.3390/stats1010007
https://doi.org/10.3390/stats1010007
Autor:
Donald John Best, John C. W. Rayner
Publikováno v:
Journal of Statistical Theory and Practice. 12:561-574
The Cochran-Mantel-Haenszel (CMH) methodology is a suite of tests applicable to tables of count data. The traditional CMH tests assess association, mean, and correlation effects. Here, testing for mean effects is extended to testing for higher order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45c6113711d3586aa4b571f2990118cb
https://doi.org/10.1080/15598608.2018.1439424
https://doi.org/10.1080/15598608.2018.1439424
Autor:
John C. W. Rayner, Donald John Best
Publikováno v:
Australian & New Zealand Journal of Statistics. 59:485-494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0fe18c118d90727a7bd08c7e4ed4a77
https://doi.org/10.1111/anzs.12215
https://doi.org/10.1111/anzs.12215
Publikováno v:
Communications in Statistics - Simulation and Computation. 45:1718-1730
A number of nonparametric tests are compared empirically for a randomized block layout. We assess tests appropriate for when the data are not consistent with normality or when outliers invalidate traditional analysis of variance (ANOVA) tests. The ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03189d59d7d8f09d05a5425c5cd0f2b9
https://doi.org/10.1080/03610918.2013.861483
https://doi.org/10.1080/03610918.2013.861483
Autor:
John C. W. Rayner, Donald John Best
Publikováno v:
Journal of Applied Statistics. 44:16-23
Data consisting of ranks within blocks are considered for randomized block designs when there are missing values. Tied ranks are possible. Such data can be analysed using the Skillings–Mack test. Here we suggest a new approach based on carrying out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb2da4412a8db6504f07d2a3d9e72f7e
https://doi.org/10.1080/02664763.2016.1158245
https://doi.org/10.1080/02664763.2016.1158245
Publikováno v:
Australian & New Zealand Journal of Statistics. 57:211-224
Summary For multifactor experimental designs in which the levels of at least one of the factors are ordered we show how to construct components that provide a deep nonparametric scrutiny of the data. The components assess generalised correlations and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18ad62139ac1c711c63dec2593a513ba
https://doi.org/10.1111/anzs.12113
https://doi.org/10.1111/anzs.12113
Autor:
Donald John Best, John C. W. Rayner
Publikováno v:
Journal of Modern Applied Statistical Methods. 13:76-83
Sometimes the number of treatments to be compared is so large that a complete blocks experiment is impractical. This happens, for example, in some agronomic variety trials. A balanced incomplete block (BIB) design can be used in such a situation. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23355b7b10dfe15914a38c59d64e35fe
https://doi.org/10.22237/jmasm/1414814580
https://doi.org/10.22237/jmasm/1414814580
Autor:
Donald John Best, John C. W. Rayner
Publikováno v:
Journal of Statistical Theory and Practice. 9:524-536
Data consisting of ranks within blocks are considered for randomized complete block layouts where treatment effects are expected to be ordered. Ranks with and without ties are considered, as well as missing values. A small indicative test size study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89d0e02edcdf37de6fd8820d471e710f
https://doi.org/10.1080/15598608.2014.940098
https://doi.org/10.1080/15598608.2014.940098
Autor:
Donald John Best, John C. W. Rayner
Publikováno v:
Australian & New Zealand Journal of Statistics. 55:305-319
Summary The rank transform procedure is often used in the analysis of variance when observations are not consistent with normality. The data are ranked and the analysis of variance is applied to the ranked data. Often the rank residuals will be consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d0acf90b0b3f621e36eaa9ffbf74fba
https://doi.org/10.1111/anzs.12041
https://doi.org/10.1111/anzs.12041