Chevron Left
返回到 Dealing With Missing Data

学生对 马里兰大学帕克分校 提供的 Dealing With Missing Data 的评价和反馈

3.8
123 个评分

课程概述

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®....

热门审阅

ZM

Aug 19, 2019

interesting material, well taught, lots of short quizzes to enforce understanding.

MM

Jun 4, 2017

This course quite help to get as much reliable data as possible for any survey.

筛选依据:

1 - Dealing With Missing Data 的 25 个评论(共 32 个)

创建者 MARTYNS N

May 17, 2019

创建者 marine h

Feb 13, 2019

创建者 Evan

Dec 24, 2016

创建者 Ahmed I

Aug 31, 2016

创建者 Reni A

Apr 5, 2018

创建者 Lingbing F

Feb 10, 2019

创建者 Iyshia L

Nov 8, 2018

创建者 Patrick C

Aug 20, 2020

创建者 Santiago R

Aug 26, 2020

创建者 Zachary M

Aug 20, 2019

创建者 Mohammad M

Jun 5, 2017

创建者 Carlos F P

Apr 27, 2017

创建者 Tin K O

Jan 25, 2017

创建者 Roberto D C B

Jun 4, 2020

创建者 Neeraj K

Oct 26, 2016

创建者 Anna B R

Jan 24, 2018

创建者 Sid

Jun 3, 2020

创建者 Ana A

Feb 11, 2021

创建者 Zachary H

Aug 31, 2016

创建者 Tracy S

May 27, 2021

创建者 Hussein E

Dec 25, 2017

创建者 Kelly D

Jun 22, 2021

创建者 Yuniarti

Sep 13, 2022

创建者 Alicia K

May 4, 2020

创建者 Anandita G

Nov 3, 2018