Fen, Mühendislik ve Doğa Bilimlerinde İstatistiksel Araştırmalar

Edited by Assoc. Prof. Dr. Şenol Çelik and Assoc. Prof. Dr. Nilay Köleoğlu's Statistical Research in Science, Engineering, and Natural Sciences is a comprehensive guide that highlights the growing importance and broad application of statistics across these disciplines. This 11-chapter volume, prepared with contributions from 11 academics from different Turkish universities — most of whom are statisticians specialising in fields such as statistics, biometrics, and econometrics — focuses on the analytical methods most needed by researchers. The book's content covers a broad spectrum, from advanced topics like data mining and machine learning (Naive Bayes classification ), meta-analysis, multivariate statistical analyses (factor analysis, multiple correspondence analysis ), handling missing values, logistic regression, and probit analysis, to quality management and control charts like Shewhart, CUSUM, and EWMA. Furthermore, parametric and nonparametric comparison methods, such as ANOVA and the Kruskal-Wallis test, have specific applications in fields such as aquaculture and meteorology. One of the book's key features is its inclusion of practical applications using RStudio, SPSS, and Minitab software, with all analysis results interpreted in an easily understandable language for researchers. With its peer-reviewed chapters, this work serves as an essential reference source for researchers in the sciences, engineering, and natural sciences, enabling them to use statistical methods effectively