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1
Sequential Optimal Designs with Unknown Link Function
Warfield, Joseph Davis
-
2008
Optimal designs provide a very efficient way to maximize the amount of information gained in an experiment. For linear models the information is a factor of the covariates, but for non-linear models maximizing the information becomes more difficult because of the relationship of information with...
Persistent link: https://www.econbiz.de/10009439431
Saved in:
2
Three Essays on Bayesian Nonparametric Modeling in Microeconometrics
Jochmann, Markus
-
2006
This dissertation is comprised of three essays on nonparametric Bayesian modeling in microeconometrics. The introduction discusses some basic concepts of Bayesian nonparametrics including the Dirichlet process and the mixture of Dirichlet processes model. Further, the literature on estimating...
Persistent link: https://www.econbiz.de/10009471667
Saved in:
3
Systematic
sampling
of discrete and continuous populations: sample selection and the choice of estimator.
Valentine, Harry T.
;
Affleck, David L.R.
;
Gregoire, …
-
2009
Systematic
sampling
is easy, efficient, and widely used, though it is not generally recognized that a systematic sample … of them determine which estimators are unbiased, when using the
sampling
design as the basis for inference. We describe … selection. When the population size is known at the outset, systematic
sampling
with unrestricted selection is most likely the …
Persistent link: https://www.econbiz.de/10009429445
Saved in:
4
Estimating the quadratic mean diameter of fine woody debris for forest type groups of the United States.
Woodall, Christopher W.
;
Monleon, Vicente J.
-
2009
inventory of fine woody debris (FWD); however, the
sampling
protocols involve tallying only the number of FWD pieces by size … class that intersect a
sampling
transect with no measure of actual size. The line intersect estimator used with those …
Persistent link: https://www.econbiz.de/10009429473
Saved in:
5
Binomial
Sampling
to Estimate Rust Mite (Acari: Eriophyidae) Densities on Orange Fruit.
Hall, D.G.
;
Childers, C.C.
;
Eger, J.E.
-
2007
Binomial
sampling
based on the proportion of samples infested was investigated for estimating mean densities of citrus … parameters adequately described a validation data set from a
sampling
plan consisting of 192 samples. Projections indicated the … fitted parameters would apply to
sampling
plans with as few as 48 samples, but reducing sample size resulted in an increase …
Persistent link: https://www.econbiz.de/10009429479
Saved in:
6
Dispersion Patterns and
Sampling
Plans for Diaphorina citri (Hemiptera: Psyllidae) in Citrus.
Setamou, Mamoudou
;
Flores, Daniel
;
French, J. Victor
; …
-
2008
. Projections indicated that a
sampling
plan consisting of 10 trees and eight flush shoots per tree would provide density estimates … presence-absence
sampling
plan with a fixed precision level was developed and can be used to provide a quick estimation of D …
Persistent link: https://www.econbiz.de/10009429531
Saved in:
7
A resampling variance estimator for the k nearest neighbours technique.
Magnussen, S.
;
McRoberts, R.E.
;
Tomppo, E.O.
-
2010
both simple random and cluster
sampling
. The BRR estimate of variance is the sum of variances and covariances of unit …-level kNN estimates in the area of interest. In Monte Carlo simulations of simple random and cluster
sampling
from seven … and Monte Carlo
sampling
variances was good both for population and for small-area totals. The modified BRR estimator is …
Persistent link: https://www.econbiz.de/10009429532
Saved in:
8
Design unbiased estimation in line intersect
sampling
using segmented transects.
Affleck, David L.R.
;
Gregoire, Timothy G.
;
Valentine, …
-
2005
In many applications of line intersect
sampling
, transects consist of multiple, connected segments in a prescribed … illustrated and a consistent
sampling
protocol, applicable to populations composed of arbitrarily shaped elements, is proposed. It …
Persistent link: https://www.econbiz.de/10009429541
Saved in:
9
Uncertainty in TMDL Models.
Shirmohammadi, A.
;
Chaubey, I.
;
Harmel, R.D.
;
Bosch, D.D.
; …
-
2006
Carlo, Latin hypercube
sampling
with constrained Monte Carlo, and generalized likelihood uncertainty estimation), and …
Persistent link: https://www.econbiz.de/10009429563
Saved in:
10
Visual Sample Plan (VSP): A Tool for Balancing
Sampling
Requirements Against Decision Error Risk
Pulsipher, Brent A.
;
Gilbert, Richard O.
;
Wilson, John E.
; …
-
2008
user determine the optimal number and location of samples using defensible statistical
sampling
design methods and displays … summarizing the assumptions and parameter inputs is generated and can be included in a
sampling
and analysis plan. VSP features …
Persistent link: https://www.econbiz.de/10009435427
Saved in:
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