Author: Kazuhiro Ōtani
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
Book Description
Sampling Properties of the Inequality Constrained Least Squares Estimator when the Use of a Proxy Variable is Inevitable
Author: Kazuhiro Ōtani
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
Book Description
Some Results on the Statistical Properties of an Inequality Constrained Least Squares Estimator in a Linear Model with Two Regressors
Author: Michael Harry Thomson
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 52
Book Description
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 52
Book Description
An Comparison of the Statistical Properties of Inequality Constrained Least Squares and Other Related Estimators
Author: Michael Thomson
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Land Use Change
Author: Institute of Terrestrial Ecology
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 212
Book Description
Increased population density, a rise in standards of living and improved, more widespread personal mobility have meant increasing competition for rural land use. The long standing primary position of agriculture and forestry as economic activities in land use is being slowly undermined.
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 212
Book Description
Increased population density, a rise in standards of living and improved, more widespread personal mobility have meant increasing competition for rural land use. The long standing primary position of agriculture and forestry as economic activities in land use is being slowly undermined.
Bibliographie internationale de la littérature périodique dans les domaines des sciences humaines et sociales
Author:
Publisher:
ISBN:
Category : Humanities
Languages : un
Pages : 930
Book Description
Publisher:
ISBN:
Category : Humanities
Languages : un
Pages : 930
Book Description
Inequality Constrained Least Squares and Other Related Estimators
Author: Michael Thomson
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Finite Sample Properties of the Instrumental Variables and Two Stage Least Squares Estimators in Confirmatory Factor Analysis Models
Author: Andrey Lukashov
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 370
Book Description
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 370
Book Description
On Inequality Constrained Generalized Least Squares Selections in the General Possibly Singular Gauß-Markov Model
Author: Hans Joachim Werner
Publisher:
ISBN:
Category :
Languages : en
Pages : 25
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 25
Book Description
Two-stage Least-squares Estimation with Inequality Constraints on the Coefficients
Author: Soo-Bin Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 202
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 202
Book Description
Generalized Additive Models
Author: Simon Wood
Publisher: CRC Press
ISBN: 1584884746
Category : Mathematics
Languages : en
Pages : 412
Book Description
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also emphasizes recent penalized regression spline approaches to GAMs and the mixed model extensions of these models. Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv. Each chapter includes exercises, for which complete solutions are provided in an appendix. Concise, comprehensive, and essentially self-contained, Generalized Additive Models: An Introduction with R prepares readers with the practical skills and the theoretical background needed to use and understand GAMs and to move on to other GAM-related methods and models, such as SS-ANOVA, P-splines, backfitting and Bayesian approaches to smoothing and additive modelling.
Publisher: CRC Press
ISBN: 1584884746
Category : Mathematics
Languages : en
Pages : 412
Book Description
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also emphasizes recent penalized regression spline approaches to GAMs and the mixed model extensions of these models. Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv. Each chapter includes exercises, for which complete solutions are provided in an appendix. Concise, comprehensive, and essentially self-contained, Generalized Additive Models: An Introduction with R prepares readers with the practical skills and the theoretical background needed to use and understand GAMs and to move on to other GAM-related methods and models, such as SS-ANOVA, P-splines, backfitting and Bayesian approaches to smoothing and additive modelling.