„Regression Testing“

Suchergebnisse

433 Treffer

• Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models
  Claeskens, Gerda ; Jansen, Maarten
• Altered pain processing and sensitisation is evident in adults with patellofemoral pain: a systematic review including meta-analysis and meta-regression
  Bartholomew, Clare ; Lack, Simon ; Neal, Bradley
• Statistical Evaluation of the Effect of Gemfibrosil, a Cholesterol Reducing Drug, on Some Biochemical Coronary Heart Disease Risk Variables
  Bartkowiak, A. ; Łsukasik, S. ; Chwistecki, K.
• Testing Density-Dependent and Path-Dependent Population Dynamics in Greece with Spatial Quantile and Geographically Weighted Regressions
  Ciaschini, Clio ; Rontos, Kostas ; Chelli, Francesco ; Cucci, Marianna ; Maggino, Filomena ; Salvati, Luca
• Estimation and testing of kink regression model with endogenous regressors
  Sun, Yan ; Huang, Wei
• Testing Race Differences in Risk of Gestational Diabetes Mellitus Associated with Household Food Insecurity (Using NHANES 2007–2018)
  Gonzalez-Canas, Carolina ; Ding, Qinglan ; Simpson, Vicki L. ; Hass, Zachary
• Efficient regression testing of distributed real-time reactive systems in the context of model-driven development
  Babaei, Majid ; Dingel, Juergen
• On the validity of the bootstrap hypothesis testing in functional linear regression
  Khademnoe, Omid ; Hosseini-Nasab, S. Mohammad E.
• Testing Equality of Regressions When Error Variances are Heterogeneous to Study the Production Differentials of Rice in Bangladesh
  Bhuyan, K. C. ; Majumder, A. K.
• Out-of-sample tests for conditional quantile coverage an application to Growth-at-Risk
  Corradi, Valentina ; Fosten, Jack ; Gutknecht, Daniel 2023 Universitätsbibliothek Johann Christian Senckenberg
• A Modification of Stone's Test for Trend for Binary Outcome
  Krummenauer, Frank ; Enders‐Klee, Eric
• Testing Hypotheses about Regression Parameters, When the Error Term Is Heteroscedastic
  Wilcox, Rand R.
• Regression Testing in Era of Internet of Things and Machine Learning – A Practical Approach
  Patil, Abhinandan H. 2020 LAP LAMBERT Academic Publishing
• Code Cover Tool Enhacements for JAVA Projects
  Patil, Abhinandan H. 2019 LAP LAMBERT Academic Publishing
• A Monte Carlo permutation procedure for testing variance components in generalized linear regression models
  El-Horbaty, Yahia S.
• Model-based regression adjustment with model-free covariates for network interference
  Han, Kevin ; Ugander, Johan
• Comments on: Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models
  Tian, Ye ; Feng, Yang
• Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data
  Du, Xiuli ; Jiang, Xiaohu ; Lin, Jinguan
• Association Testing for High-Dimensional Multiple Response Regression
  Wang, Jinjuan ; Jiang, Zhenzhen ; Liu, Hongzhi ; Meng, Zhen
• Forecasting transport development: Testing the utility of a simple regression approach
  Leinbach, Thomas R.