Statistics And Its Real Life Applications
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Methods and Applications of Statistics in the Life and Health Sciences
Author: Narayanaswamy Balakrishnan
language: en
Publisher: John Wiley & Sons
Release Date: 2009-12-02
Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health. Uniquely combining established literature with cutting-edge research, this book contains classical works and more than twenty-five new articles and completely revised contributions from the acclaimed Encyclopedia of Statistical Sciences, Second Edition. The result is a compilation of more than eighty articles that explores classic methodology and new topics, including: Sequential methods in biomedical research Statistical measures of human quality of life Change-point methods in genetics Sample size determination for clinical trials Mixed-effects regression models for predicting pre-clinical disease Probabilistic and statistical models for conception Statistical methods are explored and applied to population growth, disease detection and treatment, genetic and genomic research, drug development, clinical trials, screening and prevention, and the assessment of rehabilitation, recovery, and quality of life. These topics are explored in contributions written by more than 100 leading academics, researchers, and practitioners who utilize various statistical practices, such as election bias, survival analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its combination of traditional methodology and newly developed research, Methods and Applications of Statistics in the Life and Health Sciences has everything students, academics, and researchers in the life and health sciences need to build and apply their knowledge of statistical methods and applications.
Data Mining and Knowledge Discovery in Real Life Applications
This book presents four different ways of theoretical and practical advances and applications of data mining in different promising areas like Industrialist, Biological, and Social. Twenty six chapters cover different special topics with proposed novel ideas. Each chapter gives an overview of the subjects and some of the chapters have cases with offered data mining solutions. We hope that this book will be a useful aid in showing a right way for the students, researchers and practitioners in their studies.
Practical Applications of Business Statistics: Techniques and Insights
Author: Dr. Vishal Thakur
language: en
Publisher: Dr Vishal Thakur
Release Date: 2024-03-31
Welcome to the course "Practical Applications of Business Statistics: Techniques and Insights." Making well-informed decisions is essential in the fast-paced corporate world of today. The goal of this book is to close the knowledge gap between advanced statistical ideas and their useful application in actual business situations. This book offers a thorough approach to comprehending and utilising statistical techniques in many business contexts, regardless of experience level. Statistical techniques are essential for achieving success and profitability in a variety of contexts, from assessing market trends to streamlining production procedures. We will look at real-world examples and case studies in this book to show how statistical analysis may be used to address typical business issues. You'll discover how to decipher data, spot trends, and come to well-informed conclusions based on logic rather than gut feeling. You don't need to know anything about statistics to use this book. Every idea is described simply, supported by illustrative examples and detailed directions for application. The key to unleashing the potential of data-driven decision-making is to consult "Practical Applications of Business Statistics" whether you want to sharpen your analytical or business acumen. Together, let's take this trip to uncover the business success-boosting insights that statistics have to offer.