The following pages link to Computational Statistics (Q63245):
Displaying 50 items.
- Interval estimation of \(P(X<Y)\) in ranked set sampling (Q722733) (← links)
- Proportion estimation in ranked set sampling in the presence of tie information (Q722734) (← links)
- Inferences on the common mean of several normal populations under heteroscedasticity (Q722735) (← links)
- Sample selection models for count data in R (Q722737) (← links)
- Efficient computation of multivariate empirical distribution functions at the observed values (Q722738) (← links)
- Semiparametric estimation of the link function in binary-choice single-index models (Q722740) (← links)
- Post-processing of Markov chain Monte Carlo output in Bayesian latent variable models with application to multidimensional scaling (Q722742) (← links)
- High-dimensional variable selection with the plaid mixture model for clustering (Q722745) (← links)
- Transformation of variables and the condition number in ridge estimation (Q722746) (← links)
- Rank-based Liu regression (Q722749) (← links)
- Local non-stationarity test in mean for Markov switching GARCH models: an approximate Bayesian approach (Q736570) (← links)
- Bayesian estimation and inference for log-ACD models (Q736572) (← links)
- Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles (Q736574) (← links)
- Bayesian accelerated life testing under competing log-location-scale family of causes of failure (Q736577) (← links)
- Bayesian segmental growth mixture Tobit models with skew distributions (Q736578) (← links)
- On progressively first failure censored Lindley distribution (Q736581) (← links)
- Bayesian beta regression with Bayesianbetareg R-package (Q736585) (← links)
- Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data (Q736586) (← links)
- Bayesian analysis of Birnbaum-Saunders distribution via the generalized ratio-of-uniforms method (Q736587) (← links)
- Prediction intervals based on Gompertz doubly censored data (Q736589) (← links)
- Nonparametric estimation in generalized varying-coefficient models based on iterative weighted quasi-likelihood method (Q736590) (← links)
- Practical use of robust GCV and modified GCV for spline smoothing (Q736591) (← links)
- Two-sample homogeneity tests based on divergence measures (Q736593) (← links)
- Efficient computation of the Bergsma-Dassios sign covariance (Q736594) (← links)
- Composite quantile regression for single-index models with asymmetric errors (Q736595) (← links)
- Combining dissimilarity matrices by using rank correlations (Q736597) (← links)
- Determining cutoff values of prognostic factors in survival data with competing risks (Q736600) (← links)
- Convexity of Gaussian chance constraints and of related probability maximization problems (Q736601) (← links)
- A genetic algorithm for designing microarray experiments (Q736628) (← links)
- Composite likelihood and maximum likelihood methods for joint latent class modeling of disease prevalence and high-dimensional semicontinuous biomarker data (Q736631) (← links)
- On high-dimensional two sample mean testing statistics: a comparative study with a data adaptive choice of coefficient vector (Q736633) (← links)
- Correcting statistical models via empirical distribution functions (Q736634) (← links)
- Confidence interval estimation by a joint pivot method (Q736635) (← links)
- Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages \textit{CoxBoost} and \textit{mboost} (Q736636) (← links)
- Selectiongain: an R package for optimizing multi-stage selection (Q736640) (← links)
- Introducing \texttt{libeemd}: a program package for performing the ensemble empirical mode decomposition (Q736642) (← links)
- Probability \textit{Distributome}: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions (Q736646) (← links)
- Comparison of value-at-risk models using the MCS approach (Q736648) (← links)
- A stochastic expectation-maximization algorithm for the analysis of system lifetime data with known signature (Q736650) (← links)
- A multistage algorithm for best-subset model selection based on the Kullback-Leibler discrepancy (Q736651) (← links)
- Semiparametric variable selection for partially varying coefficient models with endogenous variables (Q736653) (← links)
- Improving efficiency of data augmentation algorithms using Peskun's theorem (Q736654) (← links)
- Random variate generation and connected computational issues for the Poisson-Tweedie distribution (Q736657) (← links)
- Second-order generalized estimating equations for correlated count data (Q736660) (← links)
- Density-based clustering with non-continuous data (Q736661) (← links)
- Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians (Q736666) (← links)
- A best linear threshold classification with scale mixture of skew normal populations (Q736983) (← links)
- A GS-CORE algorithm for performing a reduction test on multiple gene sets and their core genes (Q736984) (← links)
- Variable selection for varying-coefficient models with the sparse regularization (Q736986) (← links)
- S-estimation of hidden Markov models (Q736987) (← links)
