«HOMOSCEDASTIC»に関連する英語の本
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homoscedasticの使いかたを見つけましょう。
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1
Handbook of Parametric and Nonparametric Statistical ...
Data that are not homoscedastic are heteroscedastic. When data are
homoscedastic the accuracy of a prediction based on the regression line will be
consistent across the full range of both variables. To illustrate, if data are
homoscedastic and ...
2
Crossing Boundaries: Statistical Essays in Honor of Jack Hall
If we extend the terminology to call subspaces spanned by homoscedastic
contrasts in stratum i "homoscedastic subspaces," then yet another way of stating
Zl is: "The mean space is a sum of homoscedastic subspaces." In completely ...
John Edward Kolassa, David Oakes (Ph.D.), 2003
3.3 HOMOSCEDASTIC COMPONENTS Often in practice, the component~
covariance matrices E; are restricted to being the same, E,-=E (i:1,...,g), (3.9)
where Z' is unspecified. In this case of homoscedastic normal components, the
updated ...
Geoffrey McLachlan, David Peel, 2004
4
Urban-fringe Landowners' Preferences for Particular Farmland ...
In table 4.5.13, estimates from a homoscedastic model are listed side by side with
those from a heteroscedastic model in use in this study to illustrate how that
homoscedastic assumption functions and where biased findings occur.
According to ...
5
Handbook of Psychology, Research Methods in Psychology
This model is homoscedastic, meaning that the conditional variance of Y, given X
, does not change with X. If it is further assumed that e has a normal distribution,
methods for assessing power, given n, are available when the goal is to test ...
Irving B. Weiner, John A. Schinka, Wayne F. Velicer, 2003
6
Mechanical Reliability Improvement: Probability and ...
... paired random variables or statistics) conceptual parameter (viz., a parameter
in a conceptual statistical model) Completely Randomized Design experiment
test program conceptual random datum values conceptual random
homoscedastic ...
7
Growth, Stability, and Equity in Agriculture: A Quantitative ...
Homoscedastic in other forms of t. b Heteroscedasticity also at t2. significant at 5
% level; Table 4.14 : Heteroscedasticity Test for Autocorrelated Crops* . West 146
Growth, Stability and Equity in Agriculture. State/District Parametric(Glejser) ...
8
Die Erfassung der langfristigen Absatzmöglichkeiten mit ...
Model M4 assumes both error terms to be homoscedastic. In model M5 only v is
assumed to be homoscedastic, whereas in model M6 only w is homoscedastic.
Model M7 is the selected model. It assumes a Translog functional form, technical
...
9
Advances in Data Analysis, Data Handling and Business ...
However, in Peel and McLachlan (2000) it is pointed out that this assumption has
a marked impact on the implied clusteringof the data: indeedforcing a
homoscedastic model produces a larger misallocation rate than in the case in
which no ...
Andreas Fink, Berthold Lausen, Wilfried Seidel, 2009
10
Signal and Image Processing for Remote Sensing
TABLE 16.2 Test Error Rates (%) Due to Homoscedastic and Heteroscedastic
Gaussian MRFs with Two Sorts of Divergences for Data Set 2 Radius r2 0 4 9 16
25 36 49 64 spatial AdaBoost becomes clearer. Therefore, we see that spatial ...
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Algorithms Make Better Predictions — Except When They Don't
For example, you may have heard, “We've assumed that variables are independent, homoscedastic, and follow normal distributions. «blogs.hbr.org, 9月 14»
