Category: 540 (Regression)

Title Cat:App Page
Hedging with linear regressions and neural networks 540:Z QCAS / 69 / 3-4 / 253
Modelling time-varying mobility flows using function-to-function regression: Analysis of a bike sharing system in the city of Milan 540:S QCAS / 68 / 5-6 / 411
Subsampling from features in large regression to find “winning features” 540:Y QCAS / 68 / 1-2 / 103
Empirical likelihood for outlier detection in regression models 540:Y QCAS / 65 / 1-2 / 97
Adaptive Monte Carlo for Bayesian variable selection in regression models 540:Y QCAS / 59 / 5-6 / 519
Optimal designs for regression models with a constant coefficient of variation 540:Y QCAS / 59 / 5-6 / 521
Uniform inference in predictive regression models 540:Y QCAS / 59 / 5-6 / 523
Optimal discriminating designs for several competing regression models 540:Y QCAS / 59 / 1-2 / 131
Optimal designs for quantile regression models 540:Y QCAS / 58 / 5-6 / 541
Subsample ignorable likelihood for regression analysis with missing data 540:Y QCAS / 58 / 1-2 / 105
A truncated logistic regression model in probability of detection evaluation 540:Y QCAS / 58 / 1-2 / 109
Fitting regression models with response–biased samples 540:Y QCAS / 58 / 1-2 / 111
Diagnostics analysis for log-Birnbaum-Saunders regression models with censored data 540:Y QCAS / 57 / 3 / 255
The prediction properties of classical and inverse regression for the simple linear calibration problem 540:Y QCAS / 57 / 1-2 / 103
Approximate tolerance limits under log-location-scale regression models in the presence of censoring 540:Y QCAS / 56 / 3 / 251
A comparison of maximum likelihood and median-rank regression for Weibull estimation 540:Y QCAS / 56 / 1-2 / 115
How many studies do you need? A primer on statistical power for meta-analysis 540:Y QCAS / 56 / 1-2 / 117
A noncentral t regression model for meta-analysis 540:Y QCAS / 56 / 1-2 / 121
Sampling bias and logistic models 540:Y QCAS / 54 / 1-2 / 103
Projection density estimation under an m-sample semiparametric model 540:Y QCAS / 53 / 6 / 595
Fitting logistic regression models with contaminated case-control data 540:Y QCAS / 52 / 3 / 329
Bias-corrected maximum semiparametric likelihood estimation under logistic regression models based on case-control data 540:Y QCAS / 51 / 4 / 427
A sequential approach to testing seasonal unit roots in high frequency data 540:Y QCAS / 51 / 3 / 323
Regression analysis of interval-censored failure time data with linear transformation models 540:Y QCAS / 51 / 1 / 81
Estimating equation approach for regression analysis of failure time data in the presence of interval-censoring 540:Y QCAS / 51 / 1 / 83
Using logistic regression to evaluate new lid designs 540:Y QCAS / 50 / 1 / 79
Nonparametric regression analysis of uncertain and imprecise data using belief functions 540:Y QCAS / 49 / 6 / 677
Censored generalized Poisson regression model 540:Y QCAS / 49 / 6 / 679
Empiricial study of QS-9000 using principal component analysis and robust regression 540:Y QCAS / 49 / 5 / 567
Finite sample properties for the semiparametric estimation of the intercept of a censored regression model 540:Y QCAS / 49 / 5 / 571
Regression with response distributions of Pareto-type 540:Y QCAS / 49 / 2 / 205
A comparison of partial least squares regression with other prediction methods 540:Y QCAS / 49 / 1 / 89
Robust stepwise regression 540:Y QCAS / 48 / 5 / 557
Regression estimators in extreme and median ranked set samples 540:Y QCAS / 47 / 5 / 553
Asymmetric confidence bands for simple linear regression over bounded intervals 540:Y QCAS / 46 / 5 / 575
A cautionary note about assessing the fit of logistic regression models 540:A QCAS / 45 / 2 / 203
Markov Poisson regression models for discrete time series. Part 2: Applications. 540:Y QCAS / 45 / 2 / 205