Keyword: maximum likelihood estimation

Found 24 papers in total
An Extreme Value Approach for Modeling Operational Risk Losses Depending on Covariates
An Extreme Value Approach for Modeling Operational Risk Losses Depending on Covariates
2016,
A general methodology for modeling loss data depending on covariates is developed. The...
Unconditional tests for association in 2 × 2 contingency tables in the total sum fixed design
Unconditional tests for association in 2 × 2 contingency tables in the total sum fixed design
2015,
The asymptotic approach and Fisher's exact approach have often been used for testing...
Diagnostic tools for approximate Bayesian computation using the coverage property
Diagnostic tools for approximate Bayesian computation using the coverage property
2014,
Approximate Bayesian computation (ABC) is an approach to sampling from an approximate...
Covariate Decomposition Methods for Longitudinal Missing-at-Random Data and Predictors Associated with Subject-Specific Effects
Covariate Decomposition Methods for Longitudinal Missing-at-Random Data and Predictors Associated with Subject-Specific Effects
2014,
Investigators often gather longitudinal data to assess changes in responses over time...
Maximum likelihood estimation via the extended covariance and combined square-root filters
Maximum likelihood estimation via the extended covariance and combined square-root filters
2009,
The method of maximum likelihood is a general method for parameter estimation and is...
A Self-Starting CUSUM Chart Combined with a Maximum Likelihood Estimator for the Time of a Detected Shift in the Process Mean
A Self-Starting CUSUM Chart Combined with a Maximum Likelihood Estimator for the Time of a Detected Shift in the Process Mean
2014,
Detection of a special cause of variation and the identification of the time it occurs...
Simplified Maximum Likelihood Inference Based on the Likelihood Decomposition for Missing Data
Simplified Maximum Likelihood Inference Based on the Likelihood Decomposition for Missing Data
2013,
In this paper, we propose an estimation method when sample data are incomplete. We...
Deterministic Evolution of Strength in Multiple Comparisons Models: Who is the Greatest Golfer?
Deterministic Evolution of Strength in Multiple Comparisons Models: Who is the Greatest Golfer?
2015,
We present a statistical methodology for fitting time‐varying rankings, by...
A new family of Marshall‐Olkin extended distributions
A new family of Marshall‐Olkin extended distributions
2014,
The purpose of this paper is to introduce, discuss and analyze a new family of...
Modified Weibull model: A Bayes study using MCMC approach based on progressive censoring data
Modified Weibull model: A Bayes study using MCMC approach based on progressive censoring data
2012,
In this paper, we investigate the problem of point and interval estimations for the...
Estimation of a constrained multinomial logit model
Estimation of a constrained multinomial logit model
2013,
Identifying the set of available alternatives in a choice process after considering an...
Monotonic optimization based decoding for linear codes
Monotonic optimization based decoding for linear codes
2013,
New efficient methods are developed for the optimal maximum‐likelihood (ML)...
A Monte Carlo experiment to analyze the curse of dimensionality in estimating random coefficients models with a full variance–covariance matrix
A Monte Carlo experiment to analyze the curse of dimensionality in estimating random coefficients models with a full variance–covariance matrix
2012,
When the dimension of the vector of estimated parameters increases, simulation based...
Calculating errors for measures derived from choice modelling estimates
Calculating errors for measures derived from choice modelling estimates
2012,
The calibration of choice models produces a set of parameter estimates and an...
Smooth Plug-in Inverse Estimators in the Current Status Continuous Mark Model
Smooth Plug-in Inverse Estimators in the Current Status Continuous Mark Model
2012,
We consider the problem of estimating the joint distribution function of the event...
Deviation of the Variances of Classical Estimators and Negative Integer Moment Estimator from Minimum Variance Bound with Reference to Maxwell Distribution
Deviation of the Variances of Classical Estimators and Negative Integer Moment Estimator from Minimum Variance Bound with Reference to Maxwell Distribution
2006,
In this paper, we present that how much the variances of the classical estimators,...
Inference On P(X < Y ) For Exponentiated Family Of Distributions
Inference On P(X < Y ) For Exponentiated Family Of Distributions
2011,
Inference on R = P(X < Y ) has been considered when X and Y belong to independent...
Efficient estimation of the accuracy of the maximum likelihood method for ancestral state reconstruction
Efficient estimation of the accuracy of the maximum likelihood method for ancestral state reconstruction
2011,
The marginal maximum likelihood method is a widely‐used method for ancestral...
Forecasting the direction of the US stock market with dynamic binary probit models
Forecasting the direction of the US stock market with dynamic binary probit models
2011,
Several empirical studies have documented that the signs of excess stock returns are,...
Case reuse based product fuzzy configuration
Case reuse based product fuzzy configuration
2011,
This paper proposes a new probabilistic approach to deciding product fuzzy...
Modelling failure rates according to time and influencing factors
Modelling failure rates according to time and influencing factors
2011,
Reliability of systems often depends on their age (aging or burn‐in...
On the common mean of several inverse Gaussian distributions based on a higher order likelihood method
On the common mean of several inverse Gaussian distributions based on a higher order likelihood method
2011,
An interval estimation method for the common mean of several heterogeneous inverse...
Statistical estimation of delays in a multicast tree using accelerated EM
Statistical estimation of delays in a multicast tree using accelerated EM
2010,
Tomography is one of the most promising techniques today to provide spatially...
Error structure and identification condition in maximum likelihood nonmetric multidimensional scaling
Error structure and identification condition in maximum likelihood nonmetric multidimensional scaling
1998,
The author addresses two previously unresolved issues in maximum likelihood estimation...
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