A Generalized Theory of the Combination of Observations So as to Obtain the Best Result
Author : Simon Newcomb
Publisher :
Page : 24 pages
File Size : 43,10 MB
Release : 1880
Category :
ISBN :
Author : Simon Newcomb
Publisher :
Page : 24 pages
File Size : 43,10 MB
Release : 1880
Category :
ISBN :
Author : Simon Newcomb
Publisher :
Page : 24 pages
File Size : 35,20 MB
Release :
Category :
ISBN :
Author : Rodolphe Radau
Publisher :
Page : 11 pages
File Size : 38,2 MB
Release : 1887
Category :
ISBN :
Author : Simon Newcomb
Publisher :
Page : pages
File Size : 45,57 MB
Release : 1890
Category : Venus (Planet)
ISBN :
Author : Yale University. Psychological Laboratory
Publisher :
Page : 508 pages
File Size : 38,43 MB
Release : 1893
Category : Psychology
ISBN :
Author :
Publisher :
Page : 522 pages
File Size : 37,7 MB
Release : 1891
Category :
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Author :
Publisher :
Page : 844 pages
File Size : 30,15 MB
Release : 1887
Category : Mathematics
ISBN :
Author : New Hampshire State Library
Publisher :
Page : 866 pages
File Size : 39,52 MB
Release : 1904
Category : American literature
ISBN :
Author : Essam K. AL-Hussaini
Publisher : Springer
Page : 149 pages
File Size : 15,9 MB
Release : 2015-01-06
Category : Mathematics
ISBN : 9462390797
This book contains entirely new results, not to be found elsewhere. Furthermore, additional results scattered elsewhere in the literature are clearly presented. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are demonstrated. Analysis of real as well as well-simulated data are analyzed. A number of inferences based on a finite mixture of distributions are also presented.
Author : Marc A. Scott
Publisher : SAGE
Page : 954 pages
File Size : 48,16 MB
Release : 2013-08-31
Category : Social Science
ISBN : 1473971314
In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.