NSM3: functions and datasets to accompany Hollander, Wolfe, and Chicken-nonparametric statistical methods G Schneider R package version 1.12, 2018 | 59 | 2018 |

NSM3: Functions and datasets to accompany Hollander G Schneider, E Chicken, R Becvarik Wolfe, and Chicken—Nonparametric Statistical Methods, Third Edition, R …, 2021 | 18 | 2021 |

Statistical inference for stochastic differential equations P Craigmile, R Herbei, G Liu, G Schneider Wiley Interdisciplinary Reviews: Computational Statistics 15 (2), e1585, 2023 | 16 | 2023 |

Maximum likelihood estimation for stochastic differential equations using sequential Gaussian-process-based optimization G Schneider, PF Craigmile, R Herbei Technometrics 59 (2), 178-188, 2017 | 13* | 2017 |

Functions and datasets to accompany Hollander, Wolfe, and Chicken—nonparametric statistical methods G Schneider R Package Version 1, 16, 2021 | 10 | 2021 |

Package ‘NSM3’ G Schneider, E Chicken, R Becvarik, MG Schneider | 7 | 2023 |

NSM3: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken–Nonparametric Statistical Methods, third edn., R package version 1.15 G Schneider | 6 | 2020 |

Intuitive introductory statistics DA Wolfe, G Schneider Springer, 2017 | 6 | 2017 |

Augmenting incomplete training datasets for use in a machine learning system BR Kam, V Navkal, G Schneider, P Gu, AM Zimmer US Patent 11,080,618, 2021 | 3 | 2021 |

Random Variables and Probability Distributions D Wolfe, G Schneider, D Wolfe, G Schneider Primer for Data Analytics and Graduate Study in Statistics, 31-67, 2020 | 1 | 2020 |

Statistical Inference for Two Populations–Independent Samples DA Wolfe, G Schneider, DA Wolfe, G Schneider Intuitive Introductory Statistics, 669-771, 2017 | 1 | 2017 |

Statistical Inference for Bivariate Populations DA Wolfe, G Schneider, DA Wolfe, G Schneider Intuitive Introductory Statistics, 839-905, 2017 | 1 | 2017 |

Statistical inference: Estimating Probabilities and Testing and Confirming Models DA Wolfe, G Schneider, DA Wolfe, G Schneider Intuitive Introductory Statistics, 417-535, 2017 | 1 | 2017 |

A covariance tapering literature review M Ozanne, G Schneider, S White, M Yin, P Craigmile, R Herbei, W Notz The Ohio State University, Columbus/OH, USA, 38p, 2014 | 1 | 2014 |

A SAS Macro to Diagnose Influential Subjects in Longitudinal Studies G Schneider, RD Tobias Proceedings of the SAS Global Forum 2014 Conference, Cary, NC: SAS Institute …, 2014 | 1 | 2014 |

Primer for Data Analytics and Graduate Study in Statistics D Wolfe, G Schneider Springer International Publishing, 2020 | | 2020 |

Joint Probability Distributions for Two Random Variables D Wolfe, G Schneider, D Wolfe, G Schneider Primer for Data Analytics and Graduate Study in Statistics, 103-135, 2020 | | 2020 |

General Properties of Random Variables D Wolfe, G Schneider, D Wolfe, G Schneider Primer for Data Analytics and Graduate Study in Statistics, 69-102, 2020 | | 2020 |

Probability Distribution of a Function of a Single Random Variable D Wolfe, G Schneider, D Wolfe, G Schneider Primer for Data Analytics and Graduate Study in Statistics, 137-151, 2020 | | 2020 |

Asymptotic (Large-Sample) Properties of Statistics D Wolfe, G Schneider, D Wolfe, G Schneider Primer for Data Analytics and Graduate Study in Statistics, 201-232, 2020 | | 2020 |