ols regression的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

Advanced Statistics in Criminology and Criminal Justice: Volume 2

為了解決ols regression的問題，作者Weisburd, David,Wilson, David B.,Wooditch, Alese 這樣論述：

This book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems. The volume is structured around two main topics, giving the

user flexibility to find what they need quickly. The first is ＂the general linear model＂ which is the main analytic approach used to understand what influences outcomes in crime and justice. It presents a series of approaches from OLS multivariate regression, through logistic regression and multi-no

mial regression, hierarchical regression, to count regression. The volume also examines alternative methods for estimating unbiased outcomes that are becoming more common in criminology and criminal justice, including analyses of randomized experiments and propensity score matching. It also examines

the problem of statistical power, and how it can be used to better design studies. Finally, it discusses meta analysis, which is used to summarize studies; and geographic statistical analysis, which allows us to take into account the ways in which geographies may influence our statistical conclusio

ns.

Introductory Econometrics: A Modern Approach (Asia Edition)(7版)

為了解決ols regression的問題，作者JeffreyM.Wooldridge 這樣論述：

　　Give students an understanding of how econometrics can answer questions in business, policy evaluation and forecasting. Students see the importance of what they're learning as this practical, yet professional, approach demonstrates how today's empirical researchers apply econometric meth

ods to answer questions across a variety of disciplines. The author organizes information around the type of data being analyzed and uses a systematic approach that introduces assumptions only when needed to obtain a certain result, making it easier for students to follow. Updated applications and e

xamples demonstrate impact on today's policy and support or disprove contemporary economic theories. More than 100 data sets are available in different formats.

媒體使用與人民賦權：以印尼為例

為了解決ols regression的問題，作者石承鑫 這樣論述：

本論文旨於探討究竟使用大眾媒體（例如：觀看電視、收聽廣播、閱讀報紙、使用網路）是否有助於提升印尼當地人民賦權，並特別聚焦於對於當地女性產生之影響。本研究使用財務獨立性、對於家暴的態度、勞動參與、是否使用避孕措施作為本文衡量賦權之變數。研究數據來源為印尼2017年Demographic and Health Survey（DHS，人口健康調查）之統計資料，藉由量化分析法探討媒體使用對於印尼人民之影響，除了以最小平方估計法 (Ordinary Least Squares Estimation) 估計關聯性，亦使用工具變數 (instrumental variables) 處理內生性問題。本研究結

果指出在其他條件不變的情況下，印尼女性賦權較差於印尼男性；多數媒體使用將影響印尼女性賦權，而對於男性影響則相對不顯著。其中正面影響最顯著的分別為廣播以及網路使用，而教育程度及財富程度亦與個人賦權程度呈正相關。