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| Author | : Ashis Sengupta |
| Publisher | : World Scientific |
| Total Pages | : 492 |
| Release | : 2009 |
| Genre | : Mathematics |
| ISBN | : 9812838236 |
Printbegrænsninger: Der kan printes 10 sider ad gangen og max. 40 sider pr. session
| Author | : Fortunato Pesarin |
| Publisher | : John Wiley & Sons |
| Total Pages | : 448 |
| Release | : 2010-02-25 |
| Genre | : Mathematics |
| ISBN | : 9780470689523 |
Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies. The Authors give a general overview on permutation tests with a focus on recent theoretical advances within univariate and multivariate complex permutation testing problems, this book brings the reader completely up to date with today’s current thinking. Key Features: Examines the most up-to-date methodologies of univariate and multivariate permutation testing. Includes extensive software codes in MATLAB, R and SAS, featuring worked examples, and uses real case studies from both experimental and observational studies. Includes a standalone free software NPC Test Release 10 with a graphical interface which allows practitioners from every scientific field to easily implement almost all complex testing procedures included in the book. Presents and discusses solutions to the most important and frequently encountered real problems in multivariate analyses. A supplementary website containing all of the data sets examined in the book along with ready to use software codes. Together with a wide set of application cases, the Authors present a thorough theory of permutation testing both with formal description and proofs, and analysing real case studies. Practitioners and researchers, working in different scientific fields such as engineering, biostatistics, psychology or medicine will benefit from this book.
| Author | : Roger E. Kirk |
| Publisher | : SAGE |
| Total Pages | : 1073 |
| Release | : 2013 |
| Genre | : Education |
| ISBN | : 1412974453 |
Experimental Design: Procedures for Behavioral Sciences, Fourth Edition is a classic text with a reputuation for accessibility and readability. It has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.
| Author | : Jianqing Fan |
| Publisher | : Springer Nature |
| Total Pages | : 384 |
| Release | : 2020-05-22 |
| Genre | : Mathematics |
| ISBN | : 3030461610 |
The 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 | : Inge Koch |
| Publisher | : Cambridge University Press |
| Total Pages | : 531 |
| Release | : 2014 |
| Genre | : Business & Economics |
| ISBN | : 0521887933 |
This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.
| Author | : Peter H. Westfall |
| Publisher | : SAS Institute |
| Total Pages | : 645 |
| Release | : 2011 |
| Genre | : Computers |
| ISBN | : 1607648857 |
New and extensively updated for SAS 9 and later, this work provides cutting-edge methods, specialized macros, and proven best bet procedures. The book also discusses the pitfalls and advantages of various methods, thereby helping readers to decide which is the most appropriate for their purposes. 644 pp. Pub. 7/11.
| Author | : Dongseok Choi |
| Publisher | : Springer |
| Total Pages | : 168 |
| Release | : 2018-03-27 |
| Genre | : Mathematics |
| ISBN | : 9811081689 |
This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods.
| Author | : Ding-Geng (Din) Chen |
| Publisher | : Springer |
| Total Pages | : 354 |
| Release | : 2015-08-31 |
| Genre | : Medical |
| ISBN | : 3319185365 |
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.
| Author | : Frank Emmert-Streib |
| Publisher | : John Wiley & Sons |
| Total Pages | : 412 |
| Release | : 2010-03-30 |
| Genre | : Medical |
| ISBN | : 9783527630349 |
A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries. They are characterized by the systems properties of gene networks and their interrelations, instead of individual genes, whose malfunctioning manifests in pathological phenotypes, thus making the analysis of the resulting large data sets particularly challenging. This is why novel approaches are needed to tackle this problem efficiently on a systems level. Written by computational biologists and biostatisticians, this book is an invaluable resource for a large number of researchers working on basic but also applied aspects of biomedical data analysis emphasizing the pathway level.
