Properties of Ordinary and Weighted Least Squares Estimators of Regression Coefficients for Two-stage Samples

Properties of Ordinary and Weighted Least Squares Estimators of Regression Coefficients for Two-stage Samples PDF Author: Cathy Campbell
Publisher:
ISBN:
Category : Least squares
Languages : en
Pages : 356

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Properties of Ordinary and Weighted Least Squares Estimators of Regression Coefficients for Two-stage Samples

Properties of Ordinary and Weighted Least Squares Estimators of Regression Coefficients for Two-stage Samples PDF Author: Cathy Campbell
Publisher:
ISBN:
Category : Least squares
Languages : en
Pages : 356

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Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1018

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Properties of Ordinary Least Squares Estimators in Regression Models with Non-spherical Disturbances

Properties of Ordinary Least Squares Estimators in Regression Models with Non-spherical Disturbances PDF Author: Denzil G. Fiebig
Publisher:
ISBN:
Category : Least squares
Languages : en
Pages : 44

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Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 762

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Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Econometric Analysis of Model Selection and Model Testing

Econometric Analysis of Model Selection and Model Testing PDF Author: M. Ishaq Bhatti
Publisher: Ashgate Publishing, Ltd.
ISBN: 9780754637158
Category : Business & Economics
Languages : en
Pages : 392

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Book Description
This book brings together the issues of optimal testing for misspecification in econometric modelling, the method of recent development in model selection and model testing with reference to applications in real data sets. It is ideal as a reference for s

NBS Special Publication

NBS Special Publication PDF Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 574

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Current Topics in Survey Sampling

Current Topics in Survey Sampling PDF Author: D. Krewski
Publisher: Elsevier
ISBN: 1483264653
Category : Reference
Languages : en
Pages : 526

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Book Description
Current Topics in Survey Sampling contains all the invited papers as well as abstracts of the contributed papers presented at the International Symposium on Survey Sampling held at Carleton University in Ottawa, 7-9 May 1980. The topics covered here include nonsampling errors, current survey research activity, superpopulation models, variance estimation, and imputation techniques. The symposium was also dedicated to the memory of Professor William G. Cochran. The volume is organized into six parts. Part I includes papers by Cochran’s close colleagues. Part II contains three papers on nonsampling errors. These cover the creation of a unified discipline of survey research to serve as the basis for total survey design; a ""swapping algorithm"" for interviewer assignment to minimize the effect of nonsampling errors; and the question of whether census counts should be adjusted for underenumeration when determining federal transfer payments to the provinces. Part III describes research activities at four major survey organizations in North America: Research Triangle Institute, Statistics Canada, Survey Research Center of the University of Michigan, and U. S. Bureau of the Census. Part IV discusses the use of superpopulation models in survey design and inference. Part V tackles a number of different problems in variance estimation while Part VI deals with imputation techniques.

Asymptotic Properties of Maximum Likelihood Estimators in the General Sampling Framework, and Some Results in Non-normal Linear Regression

Asymptotic Properties of Maximum Likelihood Estimators in the General Sampling Framework, and Some Results in Non-normal Linear Regression PDF Author: Robert Ernest Tarone
Publisher:
ISBN:
Category :
Languages : en
Pages : 190

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Some Properties of the Least Squares Estimator in Regression Analysis when the Independent Variables are Stochastic

Some Properties of the Least Squares Estimator in Regression Analysis when the Independent Variables are Stochastic PDF Author: P. K. Bhattacharya (Mathematician)
Publisher:
ISBN:
Category : Matrices
Languages : en
Pages : 32

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Book Description
For the linear regression of y on x observations the loss in estimating the true regression function by another function is considered as a loss function. For the loss function, it is shown under certain conditions that if the class of estimates which are linear in y's and have bounded risk is non-empty, then the estimate obtained by the method of least squares belongs to this class and has uniformly minimum risk in this class. A necessary and sufficient condition on the distribution function of x observations is obtained for this class to be non-empty, which unfortunately is not easy to verify in particular cases and is violated in a ver simple situation. owever, by a sequential modification of the sampling scheme, this condition may always be satisfied at the cost of an arbitrarily small increase in the expected sa ple size. I T IS ALSO SHOWN UNDER CERTAIN FURTHER C NDITIONS ON THE FAMILY OF ADMISSIBLE DISTRIB TIONS THAT THE LEAST SQUARES ESTIMATOR IS MINIMAX IN THE CLASS OF ALL ESTIMATORS. (Author).

Regression Analysis

Regression Analysis PDF Author: Jim Frost
Publisher: Statistics By Jim Publishing
ISBN: 9781735431185
Category :
Languages : en
Pages : 352

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Book Description
Intuitively understand regression analysis by focusing on concepts and graphs rather than equations and formulas. I use everyday language so you can grasp regression at a deeper level. Progress from a beginner to a skilled practitioner. Learn practical tips for performing your analysis and interpreting the results. Feel confident that you're analyzing your data properly and able to trust your results. Know that you can detect and correct problems that arise. Includes access to free downloadable datasets for the examples. Learn the following: How regression works and when to use it. Selecting the correct type of regression analysis. Specifying the best model. Understanding main effects, interaction effects, and modeling curvature. Interpreting the results. Assessing the fit of the model. Generating predictions and evaluating their precision. Checking the assumptions and resolving issues. Examples of different types of regression analyses.