Correlation Papers
Author | : Henry Shaler Williams |
Publisher | : |
Total Pages | : 286 |
Release | : 1891 |
Genre | : Geology |
ISBN | : |
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Author | : Henry Shaler Williams |
Publisher | : |
Total Pages | : 286 |
Release | : 1891 |
Genre | : Geology |
ISBN | : |
Author | : Charles Richard Van Hise |
Publisher | : |
Total Pages | : 978 |
Release | : 1892 |
Genre | : Geology |
ISBN | : |
Author | : Israel Cook Russell |
Publisher | : |
Total Pages | : 374 |
Release | : 1892 |
Genre | : Geology |
ISBN | : |
Author | : Charles Abiathar White |
Publisher | : |
Total Pages | : 838 |
Release | : 1891 |
Genre | : Geology |
ISBN | : |
Author | : Charles Doolittle Walcott |
Publisher | : |
Total Pages | : 482 |
Release | : 1892 |
Genre | : Geology |
ISBN | : |
Author | : Kathleen F. Weaver |
Publisher | : John Wiley & Sons |
Total Pages | : 616 |
Release | : 2017-08-10 |
Genre | : Mathematics |
ISBN | : 1119301106 |
Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insights into the techniques and interpretations of R, SPSS®, Excel®, and Numbers® output An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via research-based data sets in biology, kinesiology, and physical anthropology. Readers are provided with a detailed introduction and orientation to statistical analysis as well as practical examples to ensure a thorough understanding of the concepts and methodology. In addition, the book addresses not just the statistical concepts researchers should be familiar with, but also demonstrates their relevance to real-world research questions and how to perform them using easily available software packages including R, SPSS®, Excel®, and Numbers®. Specific emphasis is on the practical application of statistics in the biological and life sciences, while enhancing reader skills in identifying the research questions and testable hypotheses, determining the appropriate experimental methodology and statistical analyses, processing data, and reporting the research outcomes. In addition, this book: • Aims to develop readers’ skills including how to report research outcomes, determine the appropriate experimental methodology and statistical analysis, and identify the needed research questions and testable hypotheses • Includes pedagogical elements throughout that enhance the overall learning experience including case studies and tutorials, all in an effort to gain full comprehension of designing an experiment, considering biases and uncontrolled variables, analyzing data, and applying the appropriate statistical application with valid justification • Fills the gap between theoretically driven, mathematically heavy texts and introductory, step-by-step type books while preparing readers with the programming skills needed to carry out basic statistical tests, build support figures, and interpret the results • Provides a companion website that features related R, SPSS, Excel, and Numbers data sets, sample PowerPoint® lecture slides, end of the chapter review questions, software video tutorials that highlight basic statistical concepts, and a student workbook and instructor manual An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences is an ideal textbook for upper-undergraduate and graduate-level courses in research methods, biostatistics, statistics, biology, kinesiology, sports science and medicine, health and physical education, medicine, and nutrition. The book is also appropriate as a reference for researchers and professionals in the fields of anthropology, sports research, sports science, and physical education. KATHLEEN F. WEAVER, PhD, is Associate Dean of Learning, Innovation, and Teaching and Professor in the Department of Biology at the University of La Verne. The author of numerous journal articles, she received her PhD in Ecology and Evolutionary Biology from the University of Colorado. VANESSA C. MORALES, BS, is Assistant Director of the Academic Success Center at the University of La Verne. SARAH L. DUNN, PhD, is Associate Professor in the Department of Kinesiology at the University of La Verne and is Director of Research and Sponsored Programs. She has authored numerous journal articles and received her PhD in Health and Exercise Science from the University of New South Wales. KANYA GODDE, PhD, is Assistant Professor in the Department of Anthropology and is Director/Chair of Institutional Review Board at the University of La Verne. The author of numerous j
Author | : William Bullock Clark |
Publisher | : |
Total Pages | : 186 |
Release | : 1892 |
Genre | : Geology |
ISBN | : |
Author | : Geological Survey (U.S.) |
Publisher | : |
Total Pages | : 204 |
Release | : 1891 |
Genre | : Geology |
ISBN | : |
Author | : Karl Pearson |
Publisher | : |
Total Pages | : 230 |
Release | : 1904 |
Genre | : Biometry |
ISBN | : |
Author | : Jacob Benesty |
Publisher | : Springer Science & Business Media |
Total Pages | : 236 |
Release | : 2009-04-28 |
Genre | : Technology & Engineering |
ISBN | : 364200296X |
Noise is everywhere and in most applications that are related to audio and speech, such as human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration systems, and so many others, the signal of interest (usually speech) that is picked up by a microphone is generally contaminated by noise. As a result, the microphone signal has to be cleaned up with digital signal processing tools before it is stored, analyzed, transmitted, or played out. This cleaning process is often called noise reduction and this topic has attracted a considerable amount of research and engineering attention for several decades. One of the objectives of this book is to present in a common framework an overview of the state of the art of noise reduction algorithms in the single-channel (one microphone) case. The focus is on the most useful approaches, i.e., filtering techniques (in different domains) and spectral enhancement methods. The other objective of Noise Reduction in Speech Processing is to derive all these well-known techniques in a rigorous way and prove many fundamental and intuitive results often taken for granted. This book is especially written for graduate students and research engineers who work on noise reduction for speech and audio applications and want to understand the subtle mechanisms behind each approach. Many new and interesting concepts are presented in this text that we hope the readers will find useful and inspiring.