Title Details: | |
Experimental Designs and Statistical Analysis |
|
Authors: |
Chasiotis, Vasilis Chalikias, Miltiadis |
Subject: | MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > PARAMETRIC INFERENCE MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > DESIGN OF EXPERIMENTS |
Keywords: |
Experimental design
Statistical analysis Factorial designs Confidence intervals Analysis of variance Linear regression model Multiple comparisons Fractional factorial designs Two-level factorial designs Three-level factorial designs Residual analysis Grouped experimental designs Optimal experimental designs Randomized experimental designs Parameter estimation |
Description: | |
Abstract: |
The book titled "Experimental Designs and Statistical Analysis" is a seven chapter one, that provides a thorough understanding of experimental designs and their statistical analysis. It serves as an essential resource for researchers, students and professionals seeking to master these critical topics. In Chapter 1, fundamental concepts and historical contexts are introduced, emphasizing the importance of experimental research in industrial production. Chapter 2 explores the fully randomized experimental designs with a single factor, covering key concepts, the analysis of variance, the confidence intervals and the multiple comparisons. Chapter 3 extends the discussion to the fully randomized designs within groups, addressing advanced topics like the analysis of variance, the confidence intervals and the residual analysis. Chapter 4 shifts the focus to factorial experimental designs, detailing the analysis of variance for two-factor designs, the multiple comparisons and the residual analysis. Chapter 5 delves into two-level factorial designs, highlighting the full factorial design with two factors and the importance of the residual analysis. Chapter 6 introduces fractional factorial designs, providing the method of their grouping and the insights into half-fractions. Lastly, Chapter 7 explores experimental designs with factors at three levels, offering insights into their analysis, grouping methods and fractional factorial designs. The aforementioned book bridges theory and practice, equipping readers to design experiments rigorously, analyze data effectively and make decisions based on sound statistical principles. It is a useful resource for anyone seeking expertise in experimental designs and their statistical analysis.
|
Linguistic Editors: |
Korelopoulos, Markos |
Technical Editors: |
Chasiotis, Vasilis |
Type: |
Postgraduate textbook |
Creation Date: | 04-12-2023 |
Item Details: | |
ISBN |
978-618-228-159-8 |
License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
DOI | http://dx.doi.org/10.57713/kallipos-393 |
Handle | http://hdl.handle.net/11419/11674 |
Bibliographic Reference: | Chasiotis, V., & Chalikias, M. (2023). Experimental Designs and Statistical Analysis [Postgraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-393 |
Language: |
Greek |
Consists of: |
1. Introductory concepts 2. Fully randomized experimental designs with one factor 3. Fully randomized experimental designs with one factor in groups 4. Introduction to factorial experimental designs 5. 2^k factorial experimental designs 6. Fractional factorial experimental designs with factors at two levels 7. Factorial experimental designs with factors at three levels |
Number of pages |
264 |
Publication Origin: |
Kallipos, Open Academic Editions |
User comments | |
There are no published comments available! | |