
NHPP
 Referenced in 6 articles
[sw03163]
 parameters are often unknown and to be estimated from the observed failure data. In this ... constructed a method of the type of maximum likelihood estimation, which can be applied...

latentnet
 Referenced in 18 articles
[sw10550]
 position model and a twostage maximum likelihood method for the latent position cluster model ... clustering). It also estimates which cluster each actor belongs to. These estimates are probabilistic ... computes four types of point estimates for the coefficients and positions: maximum likelihood estimate, posterior...

otrimle
 Referenced in 11 articles
[sw17889]
 estimated by (pseudo) maximum likelihood. This is fitted by a EMtype algorithm. See Coretto...

CensMixReg
 Referenced in 5 articles
[sw21090]
 simple, yet efficient, EMtype algorithm for conducting maximum likelihood estimation of the parameters...

fitdistrplus
 Referenced in 19 articles
[sw15776]
 functions for fitting univariate distributions to different types of data (continuous censored or noncensored ... discrete data) and allowing different estimation methods (maximum likelihood, moment matching, quantile matching and maximum...

reglogit
 Referenced in 9 articles
[sw14464]
 data type (binary v. binomial, say) and the desired estimator (regularized maximum likelihood, or Bayesian...

SMNCensReg
 Referenced in 4 articles
[sw19243]
 efficient EMtype algorithm for iteratively computing maximum likelihood estimates of the parameters, with standard...

Mx
 Referenced in 14 articles
[sw19939]
 enable structural equation modeling and other types of statistical modeling of data. It offers ... CALIS, along with facilities for maximum likelihood estimation of parameters from missing data structures, under...

shrink
 Referenced in 4 articles
[sw24100]
 Various types of shrinkage factors can also be estimated after a maximum likelihood. While global...

glarma
 Referenced in 5 articles
[sw23274]
 component are available. Estimation is via maximum likelihood (conditional on initializing values for the ARMA...

PROC NLP
 Referenced in 3 articles
[sw12070]
 type are found in many settings ranging from optimal control to maximum likelihood estimation. Nonlinear...

G@RCH
 Referenced in 5 articles
[sw17835]
 available univariate models are all ARCHtype models. These include ARCH, GARCH, EGARCH, GJR, APARCH ... HYGARCH. They can be estimated by approximate (Quasi) Maximum Likelihood under one of the four...

CensRegMod
 Referenced in 1 article
[sw21092]
 simple EMtype algorithm for iteratively computing maximumlikelihood estimates of the parameters is presented...

VG_codes
 Referenced in 2 articles
[sw23808]
 maximum likelihood estimation of its parameters is not straightforward. We develop an EMtype algorithm ... that bypasses the evaluation of the full likelihood, which may be difficult because the density ... approach with respect to the maximum likelihood estimation procedures implemented in the VarianceGamma and ghyp...

ISRO
 Referenced in 1 article
[sw07652]
 this type of periodic debugging schedule and describe maximum likelihood estimation for the model parameters...

spGARCH
 Referenced in 1 article
[sw26932]
 spatial ARCHtype processes (spARCH, exponential spARCH, complex spARCH); quasimaximumlikelihood estimation...

ForestFit
 Referenced in 1 article
[sw31035]
 normal, Lomax, and Weibull. II) Point estimation of the parameters of two and threeparameter ... least square type 1, generalized least square type 2, Lmoment, maximum likelihood, logarithmic moment ... likelihood type 4, moment, maximum product spacing, TL moment, and weighted maximum likelihood ... Bayesian estimators of the threeparameter Weibull distribution developed by Green...

heckmancopula
 Referenced in 2 articles
[sw37451]
 this article, I discuss the maximum likelihood estimation of sampleselection mod els with ... joint normality. Although there are several types of sampleselection models, I discuss...

Algorithm 963
 Referenced in 2 articles
[sw23698]
 describe the implementation of a parameter estimation method suitable for models commonly used in quantitative ... Generalized Method of Moments (GMM) type of methodology that applies a continuum of moment conditions ... achieve the efficiency of a Maximum Likelihood method. Instead of the transition density, the more ... available conditional characteristic function is used for estimation. We test the CGMM and a simpler...

Copula.Markov
 Referenced in 1 article
[sw21488]
 maximum likelihood estimates for given time series data and then drawing a Shewharttype control...