The permutation p-value was determined by calculating the proportion of permuted F-statistics that were greater than or equal to the original F-statistic. For the term-specific tests, we selectively shuffled the values of age and sex independently in each iteration. The model was refitted to ...
The maximum Gelman–Rubin Rc statistic is a perfect 1, which suggests no convergence issues. Because of this and to speed up computation, we will use only one chain in subsequent examples. 12 bayes: var — Bayesian vector autoregressive models The model summary provides description of the model...
ExtensionStatisticOperation ExtensionStatisticUpdate ExtensionStatsAggregateType ExtensionUpdateType ExtensionUrls ExtensionVersion ExtensionVersionFlags ExternalConfigurationDescriptor ExternalDeployment ExternalEnvironment Externpipeline FailingSince FailureType Favorit FavoritSkapaParametrar FavoriteItem FavoriteProvider FavoriteR...
- when you assign the paramaters to local ones SQL Server uses statistic densities instead of statistic histograms- So It estimates the same number of records for all paramaters- The disadvantage is that some queries will use suboptimal plans because densities are not precise enough as the ...
_dispatcher_rate_ttl time-to-live for rate statistic (100ths of a second) _distinct_view_unnesting enables unnesting of in subquery into distinct view _distributed_recovery_connection_hold_ti number of seconds RECO holds outbound connections open me _dlmtrace Trace string of global enqueue type...
- when you assign the paramaters to local ones SQL Server uses statistic densities instead of statistic histograms - So It estimates the same number of records for all paramaters - The disadvantage is that some queries will use suboptimal plans because densities are not precise enough as the ...
- when you assign the paramaters to local ones SQL Server uses statistic densities instead of statistic histograms - So It estimates the same number of records for all paramaters - The disadvantage is that some queries will use suboptimal plans because densities are not precise enough as the ...