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Statistics For Data Science And Policy Analysis

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Statistics For Data Science And Policy Analysis

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Author : Azizur Rahman
language : en
Publisher: Springer Nature
Release Date : 2020-03-31

Statistics For Data Science And Policy Analysis written by Azizur Rahman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-31 with Mathematics categories.

This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019. Written by leading international experts in the field of statistics, data science and policy evaluation. This book explores the theme of effective policy methods through the use of big data, accurate estimates and modern computing tools and statistical modelling.

Statistics For Data Science And Policy Analysis

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Author : Azizur Rahman
language : en
Publisher:
Release Date : 2020

Statistics For Data Science And Policy Analysis written by Azizur Rahman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Data mining categories.

Computational Statistical Methodologies And Modeling For Artificial Intelligence

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Author : Priyanka Harjule
language : en
Publisher: CRC Press
Release Date : 2023-03-31

Computational Statistical Methodologies And Modeling For Artificial Intelligence written by Priyanka Harjule and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Computers categories.

This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence

Scientific Data Analysis With R

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Author : Azizur Rahman
language : en
Publisher: CRC Press
Release Date : 2024-11-28

Scientific Data Analysis With R written by Azizur Rahman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Mathematics categories.

In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and data science has become a pivotal domain. This book is the ideal companion in navigating the convergence of statistical methodologies and data science techniques with diverse applications implemented in the open-source environment of R. It is designed to be a comprehensive guide, marrying the principles of biostatistics with the practical implementation of statistics and data science in R, thereby empowering learners, researchers, and practitioners with the tools necessary to extract meaningful knowledge from biological, health, and medical datasets. This book is intended for students, researchers, and professionals eager to harness the combined power of biostatistics, data science, and the R programming language while gathering vital statistical knowledge needed for cutting-edge scientists in all fields. It is useful for those seeking to understand the basics of data science and statistical analysis, or looking to enhance their skills in handling any simple or complex data including biological, health, medical, and industry data. Key Features: Presents contemporary concepts of data science and biostatistics with real-life data analysis examples Promotes the evolution of fundamental and advanced methods applying to real-life problem-solving cases Explores computational statistical data science techniques from initial conception to recent developments of biostatistics Provides all R codes and real-world datasets to practice and competently apply into reader’s own domains Written in an exclusive state-of-the-art deductive approach without any theoretical hitches to support all contemporary readers

Sustainable Statistical And Data Science Methods And Practices

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Author : O. Olawale Awe
language : en
Publisher: Springer Nature
Release Date : 2024-01-05

Sustainable Statistical And Data Science Methods And Practices written by O. Olawale Awe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-05 with Computers categories.

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike. The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.

Statistics For Political Analysis

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Author : Theresa Marchant-Shapiro
language : en
Publisher: CQ Press
Release Date : 2014-01-15

Statistics For Political Analysis written by Theresa Marchant-Shapiro and has been published by CQ Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with Political Science categories.

Statistics are just as vital to understanding political science as the study of institutions, but getting students to understand them when teaching a methods course can be a big challenge. Statistics for Political Analysis makes understanding the numbers easy. The only introduction to statistics book written specifically for political science undergraduates, this book explains each statistical concept in plain language—from basic univariate statistics and the basic measures of association to bivariate and multivariate regression—and uses real world political examples. Students learn the relevance of statistics to political science, how to understand and calculate statistics mathematically, and how to obtain them using SPSS. All calculations are modeled step-by-step, giving students needed practice to master the process without making it intimidating. Each chapter concludes with exercises that get students actively applying the steps and building their professional skills through data calculation, analysis, and memo writing.

Handbook Of Public Policy Analysis

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Author : Frank Fischer
language : en
Publisher: Routledge
Release Date : 2017-09-25

Handbook Of Public Policy Analysis written by Frank Fischer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Political Science categories.

The study of public policy and the methods of policy analysis are among the most rapidly developing areas in the social sciences. Policy analysis has emerged to provide a better understanding of the policymaking process and to supply decision makers with reliable policy-relevant knowledge about pressing economic and social problems. Presenting a broad, comprehensive perspective, the Handbook of Public Policy Analysis: Theory, Politics, and Methods covers the historical development of policy analysis, its role in the policy process, and empirical methods. The handbook considers the theory generated by these methods and the normative and ethical issues surrounding their practice. Written by leading experts in the field, this book- Deals with the basic origins and evolution of public policy Examines the stages of the policy-making process Identifies political advocacy and expertise in the policy process Focuses on rationality in policy decision-making and the role of policy networks and learning Details argumentation, rhetoric, and narratives Explores the comparative, cultural, and ethical aspects of public policy Explains primary quantitative-oriented analytical methods employed in policy research Addresses the qualitative sides of policy analysis Discusses tools used to refine policy choices Traces the development of policy analysis in selected national contexts The Handbook of Public Policy Analysis: Theory, Politics, and Methods describes the theoretical debates that have recently defined the field, including the work of postpositivist, interpretivist, and social constructionist scholars. This book also explores the interplay between empirical and normative analysis, a crucial issue running through contemporary debates.

The Sage Handbook Of Research Methods In Political Science And International Relations

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Author : Luigi Curini
language : en
Publisher: SAGE
Release Date : 2020-04-09

The Sage Handbook Of Research Methods In Political Science And International Relations written by Luigi Curini and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-09 with Political Science categories.

The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of the field and its research processes through the empirical and research scholarship of leading international authors.

Bulletin

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Author :
language : en
Publisher:
Release Date : 1986

Bulletin written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with categories.

Data Science For Public Policy

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Author : Jeffrey C. Chen
language : en
Publisher: Springer Nature
Release Date : 2021-09-01

Data Science For Public Policy written by Jeffrey C. Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Mathematics categories.

This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst’s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.

Statistics For Data Science And Policy Analysis

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