[图书][B] Multiple linear regression
DJ Olive, DJ Olive - 2017 - Springer
Multiple Linear Regression | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover Linear …
Account Menu Find a journal Publish with us Track your research Search Cart Book cover Linear …
Methods to compute prediction intervals: A review and new results
Methods to Compute Prediction Intervals: A Review and New Results Page 1 Statistical Science
2022, Vol. 37, No. 4, 580–597 https://doi.org/10.1214/21-STS842 © Institute of Mathematical …
2022, Vol. 37, No. 4, 580–597 https://doi.org/10.1214/21-STS842 © Institute of Mathematical …
Prediction intervals for Poisson‐based regression models
This paper provides a review of the literature regarding methods for constructing prediction
intervals for counting variables, with particular focus on those whose distributions are …
intervals for counting variables, with particular focus on those whose distributions are …
[图书][B] Robust multivariate analysis
DJ Olive, DJ Olive, Chernyk - 2017 - Springer
Statistics is the science of extracting useful information from data, and a statistical model is
used to provide a useful approximation to some of the important characteristics of the …
used to provide a useful approximation to some of the important characteristics of the …
[图书][B] Statistical theory and inference
DJ Olive - 2014 - Springer
Many math and some statistics departments offer a one-semester graduate course in
statistical theory using texts such as Casella and Berger (2002), Bickel and Doksum (2007) …
statistical theory using texts such as Casella and Berger (2002), Bickel and Doksum (2007) …
Design of interval type-2 information granules based on the principle of justifiable granularity
Information granules are concise abstract descriptors of data supported by experimental
evidence. They summarize the data by forming a small collection of well justified information …
evidence. They summarize the data by forming a small collection of well justified information …
Personalized reference intervals–statistical approaches and considerations
For many measurands, physicians depend on population-based reference intervals (popRI),
when assessing laboratory test results. The availability of personalized reference intervals …
when assessing laboratory test results. The availability of personalized reference intervals …
Predictive stochastic programming
Y Deng, S Sen - Computational Management Science, 2022 - Springer
Several emerging applications call for a fusion of statistical learning and stochastic
programming (SP). We introduce a new class of models which we refer to as Predictive …
programming (SP). We introduce a new class of models which we refer to as Predictive …
Applications of hyperellipsoidal prediction regions
DJ Olive - Statistical Papers, 2018 - Springer
Abstract Olive (Internat J Stat Probab 2: 90–100, 2013) developed a large sample 100 (1-
δ)\% 100 (1-δ)% nonparametric prediction region for a future m * 1 m× 1 test vector y _f yf …
δ)\% 100 (1-δ)% nonparametric prediction region for a future m * 1 m× 1 test vector y _f yf …
Bootstrapping multiple linear regression after variable selection
LCR Pelawa Watagoda, DJ Olive - Statistical Papers, 2021 - Springer
This paper suggests a method for bootstrapping the multiple linear regression model Y= β
_1+ β _2 x_2+ ⋯+ β _p x_p+ e Y= β 1+ β 2 x 2+⋯+ β pxp+ e after variable selection. We …
_1+ β _2 x_2+ ⋯+ β _p x_p+ e Y= β 1+ β 2 x 2+⋯+ β pxp+ e after variable selection. We …