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Translational Stroke Research
This volume sets a basis for effective translational research. Authored by experts in the field of translational stroke research, each chapter specifically addresses one or more components of preclinical stroke research. The emphasis is placed on target identification and drug development using state-of-the-art in vitro and in vivo assays, in combination with in vitro toxicology assays, AMDE and clinical design.
The Nile Waters
This book is useful to those in water resources management and policy formulations, hydrologists, environmentalists, engineers and researchers. Exploiting advanced statistical techniques and the latest state-of-the-art multi-mission satellites, surface models and reanalysis products, this book provides the first comprehensive weighing of the changes in the Nile River Basin’s (NRB: ~ 3,400,000 km2 ) stored waters' compartments, surface, soil moisture and groundwater, and their association to climate variability/change and anthropogenic impacts on the one hand. On the other hand, it argues on the need for equitable use of the NRB’s waters by all 11 countries within its basin, and doing awa...
Nonparametric Statistical Inference
Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.
Topics in Acoustic Echo and Noise Control
This book treats important topics in "Acoustic Echo and Noise Control" and reports the latest developments. Methods for enhancing the quality of transmitted speech signals are gaining growing attention in universities and in industrial development laboratories. This book, written by an international team of highly qualified experts, concentrates on the modern and advanced methods.
Testing Statistical Assumptions in Research
Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variabl...
Common Errors in Statistics (and How to Avoid Them)
Praise for the Second Edition "All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice." —Journal of Applied Statistics ". . . a very engaging and valuable book for all who use statistics in any setting." —CHOICE ". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well." —MAA Reviews Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Furthe...
Introduction to Quantitative Analysis of Linguistic Survey Data
Areas covered include the relation of sociolinguistics to the original concept of the Linguistic Atlas of Middle and South Atlantic States (LAMSAS), the mechanics of computerising LAMSAS, the creation of analysis categories and statistical testing.
Fundamentals of Data Science
Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors' research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. The book's authors inc...
