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Allgemeinbegriff

Maximum-Likelihood-Schätzung

Schätzung

Subject heading	Maximum-Likelihood-Schätzung
Synonym	Maximum-Likelihood-Prinzip ML-Schätzung Maximale-Stichprobenwahrscheinlichkeit-Methode Methode der maximalen Stichprobenwahrscheinlichkeit Prinzip der größten Verlässlichkeit
Broader term	Schätzung
Topic	Stochastik, Operations Research
Source	Lex. Stochastik (unter Max.-Like.-Methode) M (als Max.-Like.-Prinzip)
Record type	Allgemeinbegriff
GND-Identifier	4194624-8
Record ID	041946243
Topic of show all Non-standard asymptotics of maximum likelihood estimators in monotone binary regression models Model Selection and Model Averaging in Computational Challenging Econometric Models Uncommon Problems in Phylogenetic Inference Local Regression and Likelihood Distributional modeling of financial systemic risk and income data Dynamic modeling, parameter estimation, and uncertainty analysis in R Simulation and Estimation of Loss Given Default A state space world for detecting and estimating events and learning sparse signal decompositions Time of arrival based infrastructureless human posture capturing system Maximum Likelihood Estimation of Continuous-Discrete State-Space Models Maximum likelihood estimation of continuous-discrete state-space models : Langevin path sampling vs. numerical integration Simulated maximum likelihood for continuous-discrete state space models using Langevin importance sampling Simulated Maximum Likelihood for Continuous-Discrete State Space Models using Langevin Importance Sampling The Surface Model - An Uncertain Continuous Representation of the Generic Camera Model and its Calibration The surface model : an uncertain continuous representation of the generic camera model and its calibration The Surface Model : An Uncertain Continuous Representation of the Generic Camera Model and its Calibration Econometric Analysis of Heterogeneous Treatment and Network Models A mathematical model for grouped extreme values with an application in automotive engineering Estimation of dynamic discrete choice models by maximum likelihood and the simulated method of moments On the finite sample properties of pre-test estimators of spatial models Agriculture & New New Trade Theory : Theoretical, Methodological, and Empirical Issues Communication and localization in UWB sensor networks : a synergetic approach Essays on PD-LGD dependencies : modeling issues, estimation procedures, and predictive accuracy Essays on PD-LGD dependencies : modeling issues, estimation procedures, and predictive accuracy The importance of digital signal processing in high speed optical receivers : equalization, impairment compensation and performance monitoring Bimodality & the performance of PPML Missing the Random Effect : When the Parameter Space Is Expanding Robust standard errors in transformed likelihood estimation of dynamic panel data models Affordable nonlinear MIMO systems Direkte Bestimmung der Maximum-Likelihood-Schätzungen für Erwartungswert und Varianz durch algebraische Zerlegung der Fisherschen Likelihoodfunktion Inference for Shared-Frailty Survival Models with Left-Truncated Data Specification and Estimation of Rating Scale Models : With an Application to the Determinants of Life Satisfaction Are short term stock asset returns predictable? Are short term stock asset returns predictable? : an extended empirical analysis Simulation and estimation of loss given default The trade effects of endogenous preferential trade agreements Analysis of microdata Analysis of Microdata Power Prices : A Regime-Switching Spot/Forward Price Model with Kim Filter Estimation Expected a posteriori estimation in financial applications Expected a posteriori estimation in financial applications Missing the random effect : when the parameter space is expanding New integer-valued autoregressive and regression models with state-dependent parameters The behavior of the maximum likelihood estimator of dynamic panel data sample selection models Analysis of Microdata Analysis of microdata : with 41 tables Zero order bounds for gradient derivatives in mixture models Beitrag zur skalenabhängigen Erfassung teilschlagspezifischer Pflanzenschäden mit Methoden der Fernerkundung und Geoinformation Beitrag zur skalenabhängigen Erfassung teilschlagspezifischer Pflanzenschäden mit Methoden der Fernerkundung und Geoinformation Empirical ∅-divergence : estimation and inference Empirical Likelihood-based Dimension Reduction Inference for Linear Error-in-Responses Models with Validation Study Empirical Likelihood-based Inference in Linear Errors-in-Covariables Models with Validation Data Interleaved frequency-division multiple-access : Systembeschreibung sowie Analyse und Optimierung des Übertragungsverhaltens im Mobilfunkkanal Investigations on linear transformations for speaker adaptation and normalization Investigations on linear transformations for speaker adaptation and normalization Multiple-antenna signaling over fading channels with estimated channel state information at the receiver Normalisierende Transformation für verallgemeinerte Ordnungsstatistiken und ihre Anwendung bei der Maximum-Likelihood-Schätzung On Testing Conditional Moment Restrictions Shape and topology constrained image segmentation with stochastic models Shape and topology constrained image segmentation with stochastic models

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Katalog der Deutschen Nationalbibliothek

Maximum-Likelihood-Schätzung

Non-standard asymptotics of maximum likelihood estimators in monotone binary regression models

Model Selection and Model Averaging in Computational Challenging Econometric Models

Uncommon Problems in Phylogenetic Inference

Local Regression and Likelihood

Distributional modeling of financial systemic risk and income data

Dynamic modeling, parameter estimation, and uncertainty analysis in R

Simulation and Estimation of Loss Given Default

A state space world for detecting and estimating events and learning sparse signal decompositions

Time of arrival based infrastructureless human posture capturing system

Maximum Likelihood Estimation of Continuous-Discrete State-Space Models

Maximum likelihood estimation of continuous-discrete state-space models : Langevin path sampling vs. numerical integration

Simulated maximum likelihood for continuous-discrete state space models using Langevin importance sampling

Simulated Maximum Likelihood for Continuous-Discrete State Space Models using Langevin Importance Sampling

The Surface Model - An Uncertain Continuous Representation of the Generic Camera Model and its Calibration

The surface model : an uncertain continuous representation of the generic camera model and its calibration

The Surface Model : An Uncertain Continuous Representation of the Generic Camera Model and its Calibration

Econometric Analysis of Heterogeneous Treatment and Network Models

A mathematical model for grouped extreme values with an application in automotive engineering

Estimation of dynamic discrete choice models by maximum likelihood and the simulated method of moments

On the finite sample properties of pre-test estimators of spatial models

Agriculture & New New Trade Theory : Theoretical, Methodological, and Empirical Issues

Communication and localization in UWB sensor networks : a synergetic approach

Essays on PD-LGD dependencies : modeling issues, estimation procedures, and predictive accuracy

Essays on PD-LGD dependencies : modeling issues, estimation procedures, and predictive accuracy

The importance of digital signal processing in high speed optical receivers : equalization, impairment compensation and performance monitoring

Bimodality & the performance of PPML

Missing the Random Effect : When the Parameter Space Is Expanding

Robust standard errors in transformed likelihood estimation of dynamic panel data models

Affordable nonlinear MIMO systems

Direkte Bestimmung der Maximum-Likelihood-Schätzungen für Erwartungswert und Varianz durch algebraische Zerlegung der Fisherschen Likelihoodfunktion

Inference for Shared-Frailty Survival Models with Left-Truncated Data

Specification and Estimation of Rating Scale Models : With an Application to the Determinants of Life Satisfaction

Are short term stock asset returns predictable?

Are short term stock asset returns predictable? : an extended empirical analysis

Simulation and estimation of loss given default

The trade effects of endogenous preferential trade agreements

Analysis of microdata

Analysis of Microdata

Power Prices : A Regime-Switching Spot/Forward Price Model with Kim Filter Estimation

Expected a posteriori estimation in financial applications

Expected a posteriori estimation in financial applications

Missing the random effect : when the parameter space is expanding

New integer-valued autoregressive and regression models with state-dependent parameters

The behavior of the maximum likelihood estimator of dynamic panel data sample selection models

Analysis of Microdata

Analysis of microdata : with 41 tables

Zero order bounds for gradient derivatives in mixture models

Beitrag zur skalenabhängigen Erfassung teilschlagspezifischer Pflanzenschäden mit Methoden der Fernerkundung und Geoinformation

Beitrag zur skalenabhängigen Erfassung teilschlagspezifischer Pflanzenschäden mit Methoden der Fernerkundung und Geoinformation

Empirical ∅-divergence : estimation and inference

Empirical Likelihood-based Dimension Reduction Inference for Linear Error-in-Responses Models with Validation Study

Empirical Likelihood-based Inference in Linear Errors-in-Covariables Models with Validation Data

Interleaved frequency-division multiple-access : Systembeschreibung sowie Analyse und Optimierung des Übertragungsverhaltens im Mobilfunkkanal

Investigations on linear transformations for speaker adaptation and normalization

Investigations on linear transformations for speaker adaptation and normalization

Multiple-antenna signaling over fading channels with estimated channel state information at the receiver

Normalisierende Transformation für verallgemeinerte Ordnungsstatistiken und ihre Anwendung bei der Maximum-Likelihood-Schätzung

On Testing Conditional Moment Restrictions

Shape and topology constrained image segmentation with stochastic models

Shape and topology constrained image segmentation with stochastic models