Pages that link to "Item:Q5447659"
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The following pages link to Estimation of the mean function with panel count data using monotone polynomial splines (Q5447659):
Displaying 50 items.
- Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data (Q124843) (← links)
- Nonparametric inference based on panel count data (Q261462) (← links)
- Rejoinder on: ``Nonparametric inference based on panel count data'' (Q261465) (← links)
- Partially linear single-index proportional hazards model with current status data (Q311797) (← links)
- M-estimation for the partially linear regression model under monotonic constraints (Q385097) (← links)
- Spline-based sieve maximum likelihood estimation in the partly linear model under monotonicity constraints (Q604367) (← links)
- Additive-multiplicative hazards model with current status data (Q722728) (← links)
- Estimation of semiparametric regression model with longitudinal data (Q746039) (← links)
- Regression analysis of informative current status data with the additive hazards model (Q747361) (← links)
- Variable selection for generalized odds rate mixture cure models with interval-censored failure time data (Q830426) (← links)
- Spline-based sieve estimation in monotone constrained varying-coefficient partially linear EV model (Q893981) (← links)
- Asymptotics for the nonparametric estimation of the mean function of a random process (Q956376) (← links)
- A lack-of-fit test for generalized linear models via single-index techniques (Q1643005) (← links)
- Sieve maximum likelihood estimation for the proportional hazards model under informative censoring (Q1654279) (← links)
- Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments (Q1658419) (← links)
- Cox regression analysis of dependent interval-censored failure time data (Q1658986) (← links)
- Semiparametric regression analysis of panel count data allowing for within-subject correlation (Q1659356) (← links)
- Efficient estimation of partially linear additive Cox model under monotonicity constraint (Q1680932) (← links)
- A penalized likelihood approach for efficiently estimating a partially linear additive transformation model with current status data (Q2044377) (← links)
- Semiparametric analysis of multivariate panel count data with nonlinear interactions (Q2126048) (← links)
- Penalized spline estimation for panel count data model with time-varying coefficients (Q2135910) (← links)
- Robust estimation for panel count data with informative observation times and censoring times (Q2176309) (← links)
- Robust estimators in a generalized partly linear regression model under monotony constraints (Q2177726) (← links)
- Generalized accelerated hazards mixture cure models with interval-censored data (Q2242027) (← links)
- Local logarithm partial likelihood estimation of panel count data model with an unknown link function (Q2242159) (← links)
- Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data (Q2301055) (← links)
- Quantile regression for panel count data based on quadratic inference functions (Q2301117) (← links)
- A Bayesian approach for semiparametric regression analysis of panel count data (Q2308446) (← links)
- Semiparametric partially linear varying coefficient models with panel count data (Q2364044) (← links)
- Parameter estimation of partial linear model under monotonicity constraints with censored data (Q2515856) (← links)
- Double penalized semi-parametric signed-rank regression with adaptive LASSO (Q2661886) (← links)
- Regression analysis of interval-censored data with informative observation times under the accelerated failure time model (Q2674943) (← links)
- Nonparametric inference for reversed mean models with panel count data (Q2676950) (← links)
- Fitting Cox models with doubly censored data using spline-based sieve marginal likelihood (Q2815592) (← links)
- Spline-based semiparametric estimation of partially linear Poisson regression with single-index models (Q2863058) (← links)
- Semiparametric Regression Analysis of Panel Count Data with Time-Dependent Covariates and Informative Observation and Censoring Times (Q2873914) (← links)
- Spline-based semiparametric projected generalized estimating equation method for panel count data (Q2903319) (← links)
- Efficient algorithms for computing the non and semi-parametric maximum likelihood estimates with panel count data (Q3021208) (← links)
- Variable Selection for Panel Count Data via Non-Concave Penalized Estimating Function (Q3077761) (← links)
- A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval-Censored Data (Q3077800) (← links)
- Monotone spline‐based least squares estimation for panel count data with informative observation times (Q3465332) (← links)
- Analysis of Gap Times Based on Panel Count Data With Informative Observation Times and Unknown Start Time (Q4690958) (← links)
- Joint analysis of longitudinal and interval-censored failure time data (Q5042131) (← links)
- Efficient Estimation of the Partly Linear Additive Hazards Model with Current Status Data (Q5177964) (← links)
- A vine copula approach for regression analysis of bivariate current status data with informative censoring (Q5221304) (← links)
- Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model (Q5228596) (← links)
- Semiparametric Estimation Methods for Panel Count Data Using Monotone<i>B</i>-Splines (Q5254726) (← links)
- Spline estimation of generalised monotonic regression (Q5256276) (← links)
- A nonparametric time-varying coefficient model for panel count data (Q5375950) (← links)
- Comments on: ``Nonparametric inference based on panel count data'' (Q5965457) (← links)