The following pages link to DOI (P27):
Displaying 50 items.
- A CONSISTENT DIAGNOSTIC TEST FOR REGRESSION MODELS USING PROJECTIONS (Q91783) (← links)
- Nonparametric bootstrap analysis with applications to demographic effects in demand functions (Q91785) (← links)
- Breaking the curse of dimensionality in nonparametric testing (Q91787) (← links)
- One for All and All for One: Regression Checks With Many Regressors (Q91788) (← links)
- Why Has U.S. Inflation Become Harder to Forecast? (Q91791) (← links)
- Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis (Q91793) (← links)
- A consistent test of functional form via nonparametric estimation techniques (Q91794) (← links)
- Transmission/Disequilibrium Tests for Extended Marker Haplotypes (Q91799) (← links)
- dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method (Q91809) (← links)
- Depth importance in precision medicine (DIPM): a tree- and forest-based method for right-censored survival outcomes (Q91810) (← links)
- Depth Importance in Precision Medicine (DIPM): A Tree and Forest Based Method (Q91812) (← links)
- Applying Graph Theory to Examine the Dynamics of Student Discussions in Small-Group Learning (Q91821) (← links)
- Computing and Graphing Highest Density Regions (Q91830) (← links)
- Empirical best linear unbiased and empirical Bayes prediction in multivariate small area estimation (Q91845) (← links)
- Two-stage designs optimal under the alternative hypothesis for phase II cancer clinical trials (Q91853) (← links)
- Optimal two-stage designs for phase II clinical trials (Q91855) (← links)
- Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm (Q91871) (← links)
- Hilbert space methods for reduced-rank Gaussian process regression (Q91877) (← links)
- Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming (Q91882) (← links)
- Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases (Q91902) (← links)
- A Regression Approach to Visual Predictive Checks for Population Pharmacometric Models (Q91915) (← links)
- Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference (Q91924) (← links)
- Detecting differential gene expression with a semiparametric hierarchical mixture method (Q91929) (← links)
- Beyond comparisons of means: understanding changes in gene expression at the single-cell level (Q91932) (← links)
- Bayesian Estimation of Log-Normal Means with Finite Quadratic Expected Loss (Q91936) (← links)
- Forecasting with Global Vector Autoregressive Models: a Bayesian Approach (Q91942) (← links)
- BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R (Q91943) (← links)
- What Counterfactuals Can Be Tested (Q91952) (← links)
- Applications of the Fractional-Random-Weight Bootstrap (Q91967) (← links)
- Analyzing Intraday Financial Data in R: The highfrequency Package (Q91979) (← links)
- Analyzing intraday financial data in R: The highfrequency package (Q91980) (← links)
- Musings about Constructions of Efficient Latin Hypercube Designs with Flexible Run-sizes (Q91989) (← links)
- Kish, L.: Survey Sampling. John Wiley & Sons, Inc., New York, London 1965, IX + 643 S., 31 Abb., 56 Tab., Preis 83 s. (Q92003) (← links)
- Regression toward the mean – a detection method for unknown population mean based on Mee and Chua's algorithm (Q92020) (← links)
- spTimer: Spatio-Temporal Bayesian Modeling UsingR (Q92030) (← links)
- Enhanced cube implementation for highly stratified population (Q92041) (← links)
- An Efficient Approach for Statistical Matching of Survey Data Trough Calibration, Optimal Transport and Balanced Sampling (Q92043) (← links)
- synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data (Q92047) (← links)
- An alternate approach to assessing climate risks (Q92068) (← links)
- Scenario-neutral approach to climate change impact studies: Application to flood risk (Q92074) (← links)
- A bottom-up approach to identifying the maximum operational adaptive capacity of water resource systems to a changing climate (Q92083) (← links)
- An inverse approach to perturb historical rainfall data for scenario-neutral climate impact studies (Q92086) (← links)
- Stochastic simulation of daily precipitation, temperature, and solar radiation (Q92088) (← links)
- A comprehensive and systematic evaluation framework for a parsimonious daily rainfall field model (Q92093) (← links)
- Multisite precipitation generation using a latent autoregressive model (Q92095) (← links)
- A virtual hydrological framework for evaluation of stochastic rainfall models (Q92096) (← links)
- A modelling framework and R-package for evaluating system performance under hydroclimate variability and change (Q92099) (← links)
- Answering the Call for a Standard Reliability Measure for Coding Data (Q92109) (← links)
- Toward improved inference for Krippendorff's Alpha agreement coefficient (Q92110) (← links)
- Mining and summarizing customer reviews (Q92119) (← links)
