Data Analysis Using Stata

A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background. Using the leading statistics programme 'R', the reader is guided step-by-

●SPSS examples include problems using the 2018 General Social Survey, the Pew Research Center's Core Trends Survey and databases that incorporate information from the 50 states and a diverse group of nations.●A new emphasis is placed on the same "real data" that most industries now use to make evidence-based decisions. In every chapter, hypothetical examples have been replaced with new data used by professionals working on current issues in social policy research, market research, social work, education and other fields. These are now featured in Social Research and Data Analysis boxes.●Highlighting the careers in data analysis that social science students can now pursue, new end-of-chapter problems have been added on social policy and market research topics to complement the text's traditional problems in sociology, social work, political science, criminal justice, public administration and gerontology.●All the sections on politics (including the most recent general election), crimina

本書《R語言與資料分析實戰》以R語言的「程式設計屬性」為中心，內容涵蓋R語言基礎理論到實際資料分析，透過分析模型和演算法等更實用的範例，講解了資料視覺化、統計分析、資料採擷、機器學習等常用的方法。同時書中還收錄了作者的實戰經驗和學習體會，可以解決資料統計分析過程中出現的各種問題。如果你是一名資料統計分析的研究人員，本書將是一本不可多得的參考書，能夠深化理解與認識R軟體的應用，進一步提高資料統計分析

This text introduces the use of R statistical software in finance and economics using RStudio. It explains the RStudio interface; common data types and structures used in statistical analysis using R;

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem s

Applied Econometric Time Series, 4th Edition demonstrates modern techniques for developing models capable of forecasting, interpreting, and testing hypotheses concerning economic data. In this text, Dr. Walter Enders commits to using a “learn-by-doing” approach to help readers master time-series analysis efficiently and effectively.

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling.Problem so

Writing for advanced undergraduate or beginning graduate students of finance, Lim (Singapore Management U.) introduces financial valuation and financial data analysis using econometric methods. There

The concept of modelling using graph theory has its origin in several scientific areas, notably statistics, physics, genetics, and engineering. The use of graphical models in applied statistics has in