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Questions related from James R Knaub
I have been studying a particular set of issues in methodology, and looking to see how various texts have addressed this. I have a number of sampling books, but only a few published since 2010,...
04 November 2024 8,892 6 View
More exactly, do you know of a case where there are repeated, continuous data, sample surveys, perhaps monthly, and an occasional census survey on the same data items, perhaps annually, likely...
05 June 2022 1,380 12 View
For example, for the classical ratio estimator, the variance of the slope, b, is sigma squared for the random factors of the estimated residuals divided by the sum of the x-values associated with...
01 May 2020 5,448 3 View
What are the various statistical software systems available which will allow you to enter regression weight, w, in weighted least squares (WLS) regression, in addition to SAS? . Thank you to...
14 October 2019 4,756 13 View
By WLS we mean weighted least squares regression. On page 111 in Brewer, KRW (2002), Combined survey sampling inference: Weighing Basu's elephants, Arnold: London and Oxford University Press, he...
28 April 2018 7,563 5 View
From what I have read, OLS regression is the core of more complex modeling, such as used for panel data, with which I am not so familiar. Even in 'one-level' modeling, say the often used case of...
13 January 2017 1,222 15 View
"Survey" is a very broad term, having widely different meanings to a variety of people, and applies well where many may not fully realize, or perhaps even consider, that their scientific data may...
03 January 2017 6,002 6 View
Cochran (1953, 1963, 1977), Sampling Techniques, is generally consider a classic, was very well and compactly written, and very useful, but is from an era when probability of...
13 August 2016 9,908 14 View
Much work by W G Cochran might apply, and by Sir Ronald Fisher, as well as other historical developments, such as the Youden Square. I'm partial to work by Ken Brewer which applies with regard to...
28 June 2016 9,822 5 View
I am interested in historical references such as the examples below. This question is with regard to inference from all surveys, but especially for establishment surveys (businesses, farms,...
26 June 2016 3,372 4 View
Calibration weights have been studied extensively as adjusted survey weights which take auxiliary data into account. A simple case of auxiliary data with linear regression through the origin is...
04 June 2016 854 3 View
At the following link, on the first page, you will see a categorization of heteroscedasticity into that which naturally should often be expected due to population member size differences, and that...
22 December 2015 1,173 8 View
Are omitted variables a subset of lurking variables, where the word "omitted" is only used when bias is the focus? Or perhaps there is some other matter of context? I find I am not clear on the...
06 December 2015 514 3 View
For sample size needs for inference for continuous data or for proportions, William Cochran - Cochran, W.G(1977), Sampling Techniques, 3rd ed., John Wiley & Sons - noted that we need...
20 November 2015 5,950 5 View
Fellow RGers: A recent survey statistics and methodology journal had an article on the use of splines, and as one example they used data with which I am very familiar. In that case, however, I...
06 November 2015 4,956 10 View
This, to me, is a huge mistake, as a cross sectional survey is designed to estimate what is currently happening. A time series forecast for that period can incorporate seasonality, but not a new...
07 May 2015 7,557 3 View
Have you used this estimator, or know of it being used? Are you familiar with its properties? Do you agree or disagree with the analysis given in the attached notes, and why or why not? When would...
20 February 2015 5,514 3 View
In finite population survey statistics, for survey methodology and data analysis, data are stratified to reduce overall variance. But sometimes publishing the individual categories becomes...
10 February 2015 9,969 16 View
Specific examples are of interest, as well as general approaches. As examples re data editing for continuous data for establishment surveys, the first link below leads to some slides for a...
03 February 2015 6,619 46 View
Scatterplots are a useful tool here.
30 January 2015 4,368 2 View
In Applied Survey Sampling, by Blair and Blair, Sage Publications, 2014, on page 175, they note the common use of "credibility intervals," by researchers using nonprobability samples and Bayesian...
17 January 2015 8,712 2 View
In the U.S., it may be more difficult to obtain good administrative data for an entire population than in many other countries. Partial data may be useful, but some may try to use it for...
25 December 2014 8,493 6 View
This is a question for philosophical discussion: I saw the interesting example at the link below (excerpt from East Tennessee State University on Freedman, et.al.). It is meant to be a simple...
24 November 2014 9,419 21 View
My experience with regression is primarily with regression through the origin, not necessarily with one regressor, but let us consider that. This is generally the case when examining establishment...
08 November 2014 9,769 28 View
An updated sample selection is being determined for one of our most comprehensive energy establishment surveys, to more efficient estimate for the current population, as the sample has not been...
26 April 2014 7,778 2 View
I have searched for such establishment survey data so that I can try applying methodology to them for which I previously led development on official energy statistics. The idea is to impute...
01 January 1970 4,965 0 View
A number of people have asked on ResearchGate about acceptable response rates and others have asked about using nonprobability sampling, perhaps without knowing that these issues are highly...
01 January 1970 5,115 3 View
In the latest approaches to trying to infer from nonprobability samples, multiple covariates are encouraged. For example, see...
01 January 1970 360 11 View
As I recall, I saw an estimator which combined a ratio estimator and a product estimator using one independent variable, x, where the same x was used in each part. Here is my concern: A ratio...
01 January 1970 7,368 2 View
At the US Energy Information Administration (EIA), for various establishment surveys, Official Statistics have been generated using model-based ratio estimation, particularly the model-based...
01 January 1970 8,425 4 View
How much will Official Statistics be degraded in the United States? I have seen or been shown a couple of other papers on alarms that have been raised, perhaps mainly regarding health...
01 January 1970 9,084 31 View
In Brewer, K.R.W.(2002), Combined Survey Sampling Inference: Weighing Basu's Elephants, Arnold: London and Oxford University Press, Ken Brewer proved not only that heteroscedasticity is the norm...
01 January 1970 7,489 6 View
Tracking establishment survey frame changes is important for Economic Statistics. "Births," "deaths," and mergers change the frame from one period to another. In my experience with energy data...
01 January 1970 7,413 5 View
Problems with AI responses on ResearchGate and elsewhere Up until now, there has been an obvious problem with people 'responding' to a discussion or question by doing an internet search and then...
01 January 1970 5,262 8 View
I'd like you to participate in a simple experiment. I'd like to limit this to simple linear and multiple linear regression with continuous data. Do you have such a regression application with...
01 January 1970 3,667 14 View
Unit level modeling versus borrowing strength for ratio model small area estimation applications Consider Rao, J. N. K., and Molina, I. (2015), Small Area Estimation, 2nd. ed., Wiley. In Section...
01 January 1970 6,585 4 View
I have seen MSE used to compare results of different methods of outlier detection. Also, in practice it may be tempting to eliminate more estimated high residual collected y values to make results...
01 January 1970 6,034 2 View
