Journal of the Royal Statistical Society: Series A (Statistics in Society)Volume 185, Issue 2 p. 743-744 BOOK REVIEW regression modeling with R , Chen, Ding-Geng (Din) and Jenny K., 2021 Springer Nature Switzerland AG xvii+ 228 pp., £71.50 (eBook), £89.99 (hardcover) ISBN 9788-3-030-67582-0, 978-3-030-67583-7 (eBook) Md. Moyazzem Hossain, Hossain [email protected] Department Statistics, Jahan...

statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. this paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. the thermal conductivity of nanofluids increases with the volume fraction and temperature. machine learni...

algal growth and the water quality effects were studied and modeled in the lower reaches of the colusa basin drain as a stream system. statistical techniques such as the correlation matrix and the stepwise multiple regression are performed on such variables as algal biomass, ammonia, nitrate, orthophosphate, temperature, and the solar radiation intensity in deriving an algae statistical model. ...

seismic performance and loss assessment studies for stock of buildings are generally based on representative models due to extremely large number of vulnerable buildings. the main problem is the proper reflection of the building stock characteristics well enough by limited number of representative models. this study aims to provide statistical information of structural parameters of turkish bui...