Design of experiments | Single-equation methods (econometrics) | Sampling (statistics) | Actuarial science | Regression models
Stock sampling is sampling people in a certain state at the time of the survey. This is in contrast to flow sampling, where the relationship of interest deals with duration or survival analysis. In stock sampling, rather than focusing on transitions within a certain time interval, we only have observations at a certain point in time. This can lead to both left and right censoring. Imposing the same model on data that have been generated under the two different sampling regimes can lead to research reaching fundamentally different conclusions if the joint distribution across the flow and stock samples differ sufficiently. Stock sampling essentially leads to a sample selection problem. This selection issue is akin to the truncated regression model where we face selection on the basis of a binary response variable, but the problem has been referred to as length-biased sampling in this specific context. Consider, for example, the figure below that plots some duration data. If a researcher would revert to stock sampling and only sample and survey individuals at the survey dates (i.e. the survey data, 12 months after the survey date, etc.), there is a high likelihood the short duration spells will be omitted from the sample, as some durations shorter than 12 months are necessarily omitted from the sample: A number of methods to adjust for these sampling issues have been proposed. One can appropriately adjust the maximum likelihood estimation for censored flow data for the sample selection, or use nonparametric estimation methods for censored flow data for the sample selection, or use nonparametric estimation methods for censored data. (Wikipedia).
What is quota sampling? Advantages and disadvantages. General steps and an example of how to find a quote sample. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.
From playlist Sampling
What is convenience sampling? Advantages and disadvantages of grab sampling. How to analyze data from convenience sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creato
From playlist Sampling
Statistics Lesson #1: Sampling
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). It includes defining and looking at examples of five sampling methods: simple random sampling, convenience sampling, systematic sampling, stratified sampling, cluster sampling. We also l
From playlist Statistics
Statistics: Introduction (12 of 13) Sampling: Definitions and Terms
Visit http://ilectureonline.com for more math and science lectures! We will review a sampling of definitions and terms of statistics: census, sampling frame, sampling plan, judgment sample, probability samples, random samples, systematic sample, stratified sample, and cluster sample. To
From playlist STATISTICS CH 1 INTRODUCTION
Statistics - Types of sampling
This video will show you the many ways that you could sample. Remember to look for those small differences such as if you are breaking things into groups first. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
Brief Introduction to Snowball Sampling. Advantages and disadvantages. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in-statistics
From playlist Sampling
What is "Probability sampling?" A brief overview. Four different types, their advantages and disadvantages: cluster, SRS (Simple Random Sampling), Systematic and Stratified sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with
From playlist Sampling
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat
From playlist Probability Distributions
What is systematic sampling? Advantages and disadvantages. How to perform systematic sampling and repeated systematic sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.c
From playlist Sampling
Excel 2010 Statistics #30: Standard Deviation: How fairly does the mean represent its data points?
Download Excel File #1: https://people.highline.edu/mgirvin/AllClasses/210Excel2010/Content/Ch03/Excel2010StatisticsCh03correct.xlsm Download Excel File #2: https://people.highline.edu/mgirvin/AllClasses/210Excel2010/Content/Ch03/Excel2010StatisticsCh03SecondFile.xlsm Download Excel File #
From playlist Excel 2010 Videos
Financial Option Theory with Mathematica -- Basics of SDEs and Option Pricing
This is my first session of my Financial Option Theory with Mathematica track. I provide an introduction to financial options, develop the relevant SDEs (stochastic differential equations), and then apply them to stock price processes and the pricing of (European) options. You can downloa
From playlist Financial Options Theory with Mathematica
Statistical Learning: 5.5 More on the Bootstrap
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Lecture 13 - Financial Time Series Data
This is Lecture 13 of the COMP510 (Computational Finance) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Hong Kong University of Science and Technology in 2008. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalfinance/pd
From playlist COMP510 - Computational Finance - 2007 HKUST
Excel Statistical Analysis 13: Range, Variance, Standard Deviation, Coefficient of Variation
Download Excel File: https://excelisfun.net/files/Ch03-ESA.xlsm Learn about how to use measures of variations to make decisions. Learn about variation visually, then learn how to calculate these measures of variation: Range, Variance, Standard Deviation, Coefficient of Variation. Topics: 1
From playlist Excel Statistical Analysis for Business Class Playlist of Videos from excelisfun
This is an old video. See StatsMrR.com for access to hundreds of 1-3 minute, well-produced videos for learning Statistics. In this older video: When we take samples that are large enough from any probability distribution, the means of those samples will be approximately normally distrib
From playlist Older Statistics Videos and Other Math Videos
Lecture 10 - Price Distributions
This is Lecture 10 of the COMP510 (Computational Finance) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Hong Kong University of Science and Technology in 2008. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalfinance/pd
From playlist COMP510 - Computational Finance - 2007 HKUST
Capital asset pricing model (CAPM, FRM T1-9)
The CAPM is a ex ante single-factor model where the single-factor is the market's excess return: it says that we should expect an excess return that is proportional to the stock's beta, which is the stock's exposure to market's excess return, as measured by the stock's beta. Beta can be re
From playlist Risk Foundations (FRM Topic 1)
Excel 2013 Statistical Analysis #4: What Is / Are Statistics? Download Stock Data Create Information
Download files: https://people.highline.edu/mgirvin/AllClasses/210Excel2013/Ch01/Excel2013StatisticsCh01.xlsm Topics in this video: 1. (00:21) What Is / Are Statistics? Define Statistics 2. (02:42) Descriptive Statistics and Inferential Statistics 3. (05:00) Collect, analyze and present ra
From playlist Excel for Statistical Analysis in Business & Economics Free Course at YouTube (75 Videos)
An overview of the most popular sampling methods used in statistics. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in-statistics
From playlist Sampling