Contemporary Multivariate Analysis and Design of Experiments
Author: Kaitai Fang
Publisher: World Scientific
Published: 2005
Total Pages: 470
ISBN-13: 9812567763
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Author: Kaitai Fang
Publisher: World Scientific
Published: 2005
Total Pages: 470
ISBN-13: 9812567763
DOWNLOAD EBOOKIndex. Subject index -- Author index
Author: Vijay Nair
Publisher:
Published: 2007
Total Pages: 673
ISBN-13: 9789812561206
DOWNLOAD EBOOKAuthor: Jianqing Fan
Publisher: World Scientific
Published: 2005-03-22
Total Pages: 469
ISBN-13: 9814481203
DOWNLOAD EBOOKThis book furthers new and exciting developments in experimental designs, multivariate analysis, biostatistics, model selection and related subjects. It features articles contributed by many prominent and active figures in their fields. These articles cover a wide array of important issues in modern statistical theory, methods and their applications. Distinctive features of the collections of articles are their coherence and advance in knowledge discoveries.
Author: Jianqing Fan
Publisher: Springer Nature
Published: 2020-05-22
Total Pages: 384
ISBN-13: 3030461610
DOWNLOAD EBOOKThe collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised by massive dimensions and complexity. In celebration of Professor Kai-Tai Fang’s 80th birthday, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. The book features four review papers on Professor Fang’s numerous contributions to the fields of experimental design, multivariate analysis, data mining and education. It also contains twenty research articles contributed by prominent and active figures in their fields. The articles cover a wide range of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.
Author: Kim H. Esbensen
Publisher: Multivariate Data Analysis
Published: 2002
Total Pages: 622
ISBN-13: 9788299333030
DOWNLOAD EBOOK"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for Windows 95, Windows NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature."Résumé de l'éditeur.
Author: Subir Ghosh
Publisher: CRC Press
Published: 1999-04-29
Total Pages: 692
ISBN-13: 9780824700522
DOWNLOAD EBOOK"Describes recent developments and surveys important topics in the areas of multivariate analysis, design of experiments, and survey sampling. Features the work of nearly 50 international leaders."
Author: Narayanan Krishnan Namboodiri
Publisher:
Published: 1975
Total Pages: 688
ISBN-13:
DOWNLOAD EBOOKAuthor: Narayanan Krishnan Namboodiri
Publisher: McGraw-Hill Companies
Published: 1975
Total Pages: 712
ISBN-13:
DOWNLOAD EBOOKAuthor: S. N. Roy
Publisher: Elsevier
Published: 2014-05-15
Total Pages: 316
ISBN-13: 148315789X
DOWNLOAD EBOOKAnalysis and Design of Certain Quantitative Multiresponse Experiments highlights (i) the need for multivariate analysis of variance (MANOVA); (ii) the need for multivariate design for multiresponse experiments; and (iii) the actual procedures and interpretation that have been used for this purpose by the authors. The development in this monograph is such that the theory and methods of uniresponse analysis and design stay very close to classical ANOVA. The book first discusses the multivariate aspect of linear models for location type of parameters, but under a univariate design, i.e. one in which each experimental unit is measured or studied with respect to all the responses. Separate chapters cover point estimation of location parameters; testing of linear hypotheses; properties of test procedures; and confidence bounds on a set of parametric functions. Subsequent chapters discuss a graphical internal comparison method for analyzing certain kinds of multiresponse experimental data; two classes of multiresponse designs, i.e. designated hierarchical and p-block designs; and the construction of various kinds of multiresponse designs.
Author: Thomas P. Ryan
Publisher: John Wiley & Sons
Published: 2007-02-02
Total Pages: 624
ISBN-13: 0471210773
DOWNLOAD EBOOKA complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional effects analysis as a proposed general method of analysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniform designs Restricted regions of operability and debarred observations Analysis of Means (ANOM) used to analyze data from various types of designs The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.