SHMM

AcronymDefinition
SHMMSterling Hill Mining Museum (Ogdensburg, NJ)
SHMMStructural Hidden Markov Model (computer science)
SHMMSoldier Health Maintenance Manual (US Army)
References in periodicals archive ?
This may be necess= ary for those who want to browse the index to do searches that are unreason= able requests (for example, would occupy too much time of a member of the U= SHMM staff), generic searches or those that do not want to wait for a respo= nse from the museum.
We report here on a study of a dataset of 22 yr of multilocation regional spring wheat variety trials in Alberta, using SHMM and SREG models.
Previously, we successfully used SHMM and ISS classification methods to analyze the relationships among international testing sites for the Semi-Arid Wheat Yield Trial (SAWYT; targeted for dryland environments) (Trethowan et al.
For a given dataset, all types of biplots listed above except the SHMM biplot can be readily generated and visualized using the GGEbiplot software.
Adjusted means were calculated and used in all subsequent SHMM and cumulative cluster analyzes to examine site clustering or grouping.
Adjusted means were calculated and used in all subsequent SHMM and pattern analyses to examine site clustering or grouping.
Model form ([dagger]) Terms AMMI GREG SREG COMM SHMM Data splitting 0 980 -- -- -- -- 1 915 954 908 962 947 2 934 907 935 911 906 3 951 926 947 930 924 4 955 946 949 951 944 5 963 957 967 957 959 Adjusted RMSPD(PRESS) ([double dagger]) 0 970 -- -- -- -- 1 956 939 892 942 925 2 2 725 912 9 155 935 886 3 30 708 994 7 071 1 557 925 4 19 030 1 071 14 670 2 682 2 246 5 30 540 3 251 8 165 8 688 5 094 ([dagger]) AMMI: Additive main effect and multiplicative interaction model; GREG: Genotype regression model; SREG: Sites regression model; COMM: Completely multiplicative model; SHMM: Shifted multiplicative model.
In various site-clustering procedures developed on the basis of SHMM or SREG (Cornelius et al.
The number of multiplicative terms t [is less than or equal to]p where p is the number of terms required to saturate the model if fitted by least squares, namely, min(g-1,e-1), min(g,e-1), min(g-1,e), min[g,e,max(g,e)-1], and min(g,e), for AMMI, GREG, SREG, SHMM, and COMM, respectively.
In all of our previously reported SHMM clustering work, statistical inference was based on the pooled error variance; i.
Finally the grain yield data set was subjected to SHMM analysis, which looked specifically at significant cross over interaction (COI) between pairs of genotypes but again excluding Oasis 86.