[PDF] Top 20 Improving statistical inference with uncertain non-sample prior information
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Improving statistical inference with uncertain non-sample prior information
... classical inference, the observed sample data is the only source of ...assume prior distribution of the underlying model parameters to combine with sample ...Often non-sample ... See full document
11
Estimation of the intercept parameter for linear regression model with uncertain non-sample prior information
... the sample information, and disregard any other kind of non-sample prior information in their ...of non-sample prior information to the estimation of ... See full document
18
Uncertain Prior Information
... utilize uncertain prior information in subsequent statistical ...among non-experimental scientists constitutes prima facie evidence of the existence of prior ...such prior ... See full document
13
Improving statistical inference for gene expression profiling data by borrowing information
... small sample sizes is the degree of approximation of the central limit theorem, which is the basis for the use of normality-based tests, ...practice, non-asymptotic, distribution-free, permutation tests are ... See full document
168
Test of hypotheses for linear regression models with non-sample prior information
... This thesis studies the testing of parameters in the presence of uncertain NSPI in the parametric context for the SRM, MSRM, MRM and PRM. In this study, we define the test statistics of the UT, RT and PTT, derive ... See full document
207
Test of hypotheses for linear regression models with non-sample prior information
... the sample data ...using non-sample prior information (NSPI) on the value of another related ...be uncertain (or ...different statistical tests: (i) unrestricted test (UT), ... See full document
12
Testing equality of two intercepts for the parallel regression model with non-sample prior information
... For the model under study two independent bivariate samples are considered such that y ij ∼ N(θ i + β i x ij , σ 2 ) for i = 1, 2 and j = 1, · · · , n i . See Khan (2003, 2006, 2008) for details on parallel regression ... See full document
17
Estimation of the slope parameter for linear regression model with uncertain prior information
... superior statistical property in terms of another more popular statistical criterion, namely the mean square ...the non-sample information regarding the value of β 1 is not too far from ... See full document
21
Estimation of the slope parameter for linear regression model with uncertain prior information
... superior statistical property in terms of another more popular statistical criterion, namely the mean square ...the non-sample information regarding the value of β 1 is not too far from ... See full document
21
Estimation of the parameters of two parallel regression lines under uncertain prior information
... Summary The problem of parallelism for bi-linear regression lines arises in many real life investi- gations. For two linear regression models with normal errors, the estimation of the slope as well as the intercept ... See full document
16
Estimation of slope for linear regression model with uncertain prior information and student-t error
... the non-sample information regarding the value of β 1 is not too far from its true ...the non-sample information is usually available from past experience or expert knowledge, ... See full document
19
Statistical inference for hardy-weinberg proportions in the presence of missing genotype information
... the sample size is ...and non-missings by testing equality of mean intensity vectors with Hotelling’s T 2 ...section. Statistical testing can discard the MCAR hypothesis, though this does not ... See full document
11
Model-based robust and stochastic control, and statistical inference for uncertain dynamical systems
... Most parameter estimation algorithms generate models with probabilistic descriptions of the uncertain- ties. For such models, robustness characterizations are intrinsically stochastic and can be written in terms ... See full document
255
Statistical inference in two non-standard regression problems
... design settings; we also allow for heteroscedastic errors. In addition, we show that the least squares estimator can also be used to approximate the gradients and subdifferentials of the underlying convex function. It is ... See full document
214
Statistical inference for Functional data: two sample Behrens-Fisher problem
... Abstract With modern technology development, functional data analysis (FDA) has received considerable recent attention in many scientific fields. The estimation of mean in FDA is of interest, because it is not only ... See full document
8
Inference in Simple Regression for the Intercept Utilizing Prior Information on the Slope
... This Regular Article is brought to you for free and open access by the Open Access Journals at DigitalCommons@WayneState. It has been accepted for inclusion in Journal of Modern Applied Statistical Methods by an ... See full document
7
Descriptive statistics Statistical inference statistical inference, statistical induction and inferential statistics
... Descriptive statistics is the discipline of quantitatively describing the main features of a collection of data. Descriptive statistics are distinguished from inferential statistics (or inductive statistics), in that ... See full document
34
Uncertain Decision Tree Inductive Inference
... Uncertain Decision Tree Inductive Inference S.M. Fakhrahmad, S. Jafari 1 Abstract—Induction is the process of reasoning in which General rules are formulated based on limited observations of recurring ... See full document
6
Evaluation and development of strategies for sample coordination and statistical inference in finite population sampling
... Indeed, sample rotation is usually achieved by splitting a sample into different parts and drawing for each new wave a non-overlapping sample that replaces one of these ... See full document
135
Bayesian statistical inference
... because subjective, vary from individual to individual, one can note two things. First, they often differ very little among themselves and from a certain communis opinio, suggested by various circumstances, and second, ... See full document
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