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Science/Engineering Essentials of Toxic Chemical Risk: Science and Society
Science/Engineering Telefoncoaching: So machen Sie aus Ihren Mitarbeitern Telefonprofis
Science/Engineering Wireless Communications (Wiley - IEEE)
Science/Engineering Posttraumatische Belastungsstörungen (German Edition)
Science/Engineering Lernplattformen in Schulen: Ansätze für E-Learning und Blended Learning in Präsenzklassen (1 Auflage)
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Science/Engineering Centrifugal Pumps, 2nd Edition
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Science/Engineering Networks, Crowds, and Markets: Reasoning About a Highly Connected World {repost}
Science/Engineering Introduction to Biophotonics (repost)
Science/Engineering The Art and Science of Psychotherapy (repost)
Science/Engineering Advances in Chemical Physics - Volume 15: Stochastic Processes in Chemical Physics
Science/Engineering "Emulsion Science: Basic Principles" (repost)
Science/Engineering Elementary Principles of Chemical Processes 3rd edition
Science/Engineering Boundary Element Analysis (repost)
Science/Engineering Collection of books on physics 2
Science/Engineering A Practical Handbook of Preparative HPLC by Donald A. Wellings (Repost)
Science/Engineering Reviews of Environmental Contamination and Toxicology 184 by George W. Ware
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Science/Engineering Biostatistics and Microbiology: A Survival Manual (2008)
Posted on 2010-03-15
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More Biostatistics and Microbiology: A Survival Manual Description: This “nuts and bolts” book provides a condensation of biostatistical methods that applied microbiology researchers need to perform data analyses. Based on the author’s more than two decades of applied research and teaching experience, it is presented in a straight-forward manner, applicable by practicing microbiologists with minimal backgrounds in mathematics. All methods rely only on the use of a basic hand-held calculator. The overriding goal of this book is to ground one’s microbiological expertise and experience in one’s research pursuits, using biostatistics not as a black box, but as a tool. The book begins with a broad discussion of the experimental process, leading to one-sample, two-sample, and multi-sample comparisons. Each regression analysis will be presented, as well as an example. Nonparametric methods will be discussed, as well as when they should be applied. Finally, special topics of statistics in microbiology (i.e., viral, plant, animal, human, food, industrial and microbial microbiology) will be presented. Download: or Check all my medical and biology related posts at Please, follow the Download Link (Rules)
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