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Non Parametric and Semi Parametric Estimation of the Engel Curves

Non parametric specification has become vital recipe in estimation of the Engel Curves. This book provide an introduction to the method and;

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Duration Analysis

influencing factors on unemployment duration. A non-parametric analysis method, the Kaplan-Meier-estimation as well as parametric estimations are;

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Semiparametic Regression for the Applied Econometrician

include estimation of Engel curves and equivalence scales, scale economies, semiparametric Cobb-Douglas, translog and CES cost functions;

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Themes in Modern Econometrics

include estimation of Engel curves and equivalence scales, scale economies, semiparametric Cobb-Douglas, translog and CES cost functions;

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Bayesian Non- and Semi-parametric Methods and Applications

, including the non-parametric and semi-parametric regression models, instrumental variables problems, and models of heterogeneity. In addition, the;

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International Symposia in Economic Theory and Econometrics

selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation;

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Nonlinear Statistical Modeling

selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation;

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Statistical Paradigms

This volume consists of a collection of research articles on classical and emerging Statistical Paradigms parametric, non-parametric and;

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Advances and Challenges in Parametric and Semi-Parametric Analysis for Correlated Data: Proceedings of the 2015 International Symposium in Statistics

. John's, Canada from July 6 to 8, 2015. The main objective of the ISS-2015 was the discussion on advances and challenges in parametric and semi;

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Density Ratio Estimation in Machine Learning

to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence;

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Density Ratio Estimation in Machine Learning

to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence;

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Simulation-based Econometric Methods

of classical parametric and semi-parametric non-linear estimation methods and a description of problems in which criterion functions contain integrals;

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Combined Parametric-Nonparametric Identification of Block-Oriented Systems

parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them;

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Measurement and Analysis of Performance of Industrial Crop Production

between parametric and non-parametric models. On empirical part of the volume, technical efficiency of two agricultural strategic crops (cotton;

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Measurement and Analysis of Performance of Industrial Crop Production

between parametric and non-parametric models. On empirical part of the volume, technical efficiency of two agricultural strategic crops (cotton;

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Mathematics for Computer Graphics and Game Programming

include two-dimensional and three-dimensional transformations, parametric representation of planar curves and parametric representation of space;

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Multivariate Survival Analysis and Competing Risks

inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case;

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Multivariate Survival Analysis and Competing Risks

inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case;

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Levy Matters IV

biosciences, and telecommunication. The three chapters of this volume are completely dedicated to the estimation of Levy processes, and are;

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Trade Arrangements, Productivity Growth and Firm Level Efficiency

and non-parametric techniques. Tornqvist's (1936) non parametric superlative index with underlying flexible form translog function, as;

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Sequential Estimation

accelerated sequential sampling procedures. It integrates the diversities in sequential estimation in a logical, treating both classical and modern;

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International Symposia in Economic Theory and Econometrics

estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data. Particularly in highly non-linear;

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International Symposia in Economic Theory and Econometrics

estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data. Particularly in highly non-linear;

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Parametric Inference: An Introduction

Parametric Inference: An Introduction discusses the basic concept of sufficient statistic and the classical approach based on minimum;

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Kernel Methods and Estimation of Extreme Value Index

estimation of extreme value index (EVI). We apply both the parametric approach and the DOA approach to estimate EVI and the extreme quantile. We;

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Parametric Geometry of Curves and Surfaces

the theory in practice. Intended as a textbook for lecture courses, Parametric Geometry of Curves and Surfaces is suitable for;

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Geometry of Curves

, then takes students on a fascinating journey from conics, higher algebraic and transcendental curves, through the properties of parametric;

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