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Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.
Written for researchers and professionals in the fields of biomedical research, immunology, biochemistry, molecular biology, pathology, and biotechnology, Basic Methods in Antibody Production and Characterization uses a cookbook approach to presenting the methods for the production, characterization, and use of antibodies. Antibodies described
The Second Edition of this bestseller brings together basic plant pathology methods published in diverse and often abstract publications. The Second Edition is updated and expanded with numerous new figures, new culture media, and additional methods for working with a greater number of organisms. Methods are easy to use and eliminate the need to seek out original articles. This reference allows for easy identification of methods appropriate for specific problems and facilities. Scientific names of pathogens and some of their hosts are updated in this edition. The book also acts as a research source providing more than 1,800 literature citations. The Second Edition includes chapters on the following: Sterilization of culture apparatus and culture media Culture of pathogens with detailed techniques for 61 fungi and selected bacteria Long-term storage of plant pathogens Detection and estimation of inoculum for 28 soilborne fungal pathogens and 5 bacterial genera-15 methods for airborne inoculum and 13 methods for seedborne pathogens Establishment of disease and testing for disease resistance Work with soil microorganisms Fungicide evaluation Biological control Bright-field microscopy