RMSE for designs with random effects
Optimal designs for the prediction in hierarchical random coefficient regression models
... optimal designs for the prediction of the individual ...optimal designs for the prediction of various linear ...of random effects is ...optimal designs retain their ...fixed ...
92
Random Effects Models for Longitudinal Survey Data
... 14.5. CONCLUDING REMARKS concluding remarks It is often useful to include random effects in the specification of models for longitudinal survey data. In this chapter we have considered two approaches to ...
15
Optimal response surface designs in the presence of random block effects.
... Like in Atkinson and Donev (1989), the starting design is improved by exchanging design points with candidate points. The resulting design is further improved by interchan- [r] ...
21
Designs for generalized linear models with random block effects via information matrix approximations
... optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimality criteria depend, is computationally expensive to ...logistic ...
21
Quasi Random Resampling Designs for Multiple Frame Surveys
... S UMMARY In this paper, we present two new algorithms that use the shuffled Sobol sequence to generate the bootstrap resampling designs in multiple frame surveys. We investigate the performance of the proposed ...
18
SAMPLING DESIGNS - RANDOM SAMPLING, ADAPTIVE AND SYSTEMATIC SAMPLING
... sampling random samples are taken from each stratum in the usual way with the added condition that whenever a sample quadrat satisfies some initial conditions ...
56
Evaluation of SystemVerilog and Constrained Random Verification for Digital Designs
... critical designs there is an additional concern as there might even be life-threatening consequences of poorly performed ...FPGA designs can be performed as either testing with the real hard- ware, with the ...
100
Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping
... model or the (s, S) inventory model. Stopping rules based on a measure of accuracy or precision may be investigated. Besides LHS, other designs with prefixed sizes may be explored; for example, min-max ...
36
Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit
... For random designs, we measure the performance after averaging over the distribution of X . As mentioned before, this can be contrasted to another method, as done by Cand`es and Plan (2009) for the Lasso, ...
30
Implementing unitary 2-designs using random diagonal-unitary matrices
... This motivates the question of how simply unitary 2-designs can be achieved. In this paper we show that unitary 2-designs can be realized to arbitrary precision by random diagonal-unitaries. Along ...
15
Bayesian Exponential Random Graph Models with Nodal Random Effects
... Exponential Random Graph Model with random, node specific effects accounting for ...Exponential-family Random Network Models proposed by Fellows and Handcock (2012) but unlike their model we ...
24
Wrap-Around L2-Discrepancy of Random Sampling, Latin Hypercube and Uniform Designs
... 2 s 6 . This corollary shows that LHD has lower expectation of square WD-value than that of simple random design when q > `n . This result is consistent with the result that the Latin hypercube designs beat ...
17
Housing Demand with Random Group Effects
... For instance, the US Index of Housing Price per administrative area is often used to measure the housing price when estimating the US price elasticity of demand for housing, and the average household income is often used ...
13
Random Effects Models for Longitudinal Data
... the random-effects component is required to complete the specification of the joint ...the random effects have a more prominent role in joint models, because on the one hand they capture the ...
57
Random Effects Models for Longitudinal Data
... Joint modeling of longitudinal and time-to-event data is one of the most rapidly evolving areas of current biostatistics research, with several extensions of the stan- dard joint model that we have presented here already ...
61
Experimental Designs for Reliable Detection of Linkage Disequilibrium in Unstructured Random Population Association Studies
... ABSTRACT A method is given for design of experiments to detect associations (linkage disequilibrium) in a random population between a marker and a quantitative trait locus (QTL), or gene, with a given strength of ...
16
Practical consequences of the aberration of narrow-pipe hash designs from ideal random functions
... the Lemma 2 we have that the entropy of the output will not be 256 bits but “just” slightly more than 237 bits. We say “just” because having 237 bits of entropy is really high enough value for any practical use, but it ...
15
TWO-SIDED NEIGHBOURS FOR BLOCK DESIGNS WITH NEIGHBOURING EFFECTS
... These effects are known as neighbour effects or competition ...neighbour designs was introduced by Rees(1967) in serology and defined it as a collection of circular blocks in which any two distinct ...
8
Random effects and Spatial Autocorrelations with Equal Weights
... In addition, we showed that OLS is equivalent to GLS if there are no random or spatial e¤ects, or if the regressors vary across units but are invariant over time. We also showed that these results for the equal ...
16
Nonlinear Income Effects in Random Utility Models
... income effects, they do not provide tight bounds on the welfare estimates, even when one ignores the uncertainty of the underlying parameter ...income effects are generally small, they may represent a ...
12