PowerStats provides access to nine postsecondary datasets and the thousands of variables they contain. PowerStats is an addition to the NCES Data Lab. NCES Data Lab Consists of the Following Tools (Descriptions from NCES Web Site): QuickStats + Create a simple table quickly + View your output as a chart or table + Choose from many data sets each with about one hundred variables + Select from postsecondary studies PowerStats + Produce complex table + Run linear and logistic regressions + Choose from many data sets each with thousands of variables Library + Search existing tables and figures to find answers to your questions. Visit NCES Tables and Figures. + Coming soon: Thousands of published tables created using PowerStats and QuickStats.
The Common Metadata Framework is divided into four parts, each of which concentrates on different practical and theoretical aspects of statistical metadata systems, and provides vital knowledge for anyone working with statistical metadata. Part A - Statistical Metadata in a Corporate Context, Part B - Metadata Concepts, Standards, Models and Registries , Part C - Metadata and the Statistical Business Process, Part D - Implementation. The development of a framework for statistical metadata was initiated by national delegates to the February 2004 meeting of the Joint UNECE-Eurostat-OECD Work Session on Statistical Metadata (METIS)
Data Sources on Older Americans (DSOA) highlights the contents of government-sponsored surveys and products containing statistical information about the older population. All Federal agencies are invited to contribute to this report and participate in the Forum. Starting in 2009, DSOA includes some non-federal data sources. T he Federal Interagency Forum on Aging-Related Statistics, National Center for Health Statistics
The Authority's statutory objective is to promote and safeguard the production and publication of official statistics that serve the public good. It is also required to promote and safeguard the quality and comprehensiveness of official statistics, and ensure good practice in relation to official statistics.
LexisNexis™ Statistical DataSets is a new online service that enables researchers to build statistical tables and charts from multiple sources in a single interface. This online interactive statistical solution aggregates over 580 licensed and public domain datasets provided by 50 sources. The DataSets product makes 12.0 billion data points accessible within a single interface.
The Bank has compiled and organized over 1,000 searchable statistics and indicators for countries in Latin America and the Caribbean, creating a comprehensive dataset for the region.
GAO Report GAO-05-1. GAO studied a diverse set of key indicator systems that provide economic, environmental, social and cultural information for local, state, or regional jurisdictions covering about 25 percent of the U.S. population—as well as several systems outside of the United States. GAO found opportunities to improve how our nation understands and assesses its position and progress.
On April 17, 1761, English mathematician and Presbyterian minister Thomas Bayes passed away. He is best known as name giver of the Bayes' theorem, of which he had developed a special case. It expresses (in the Bayesian interpretation) how a subjective degree of belief should rationally change to account for evidence, and finds application in in fields including science, engineering, economics (particularly microeconomics), game theory, medicine and law.
Google has perhaps more than any other company become "The Internet Company." It's grown hand in hand with the internet and its entire business model has from the start been totally focused on the internet as a delivery platform. And let's face it, Google is a pretty interesting company. In fact, we think it's so interesting that we put together this infographic with a ton of facts and figures about Google. We've been digging through Google's SEC filings, news articles and the trusty old Wikipedia to get plenty of interesting data to include. We hope you like it!
Online book to take your R (programming) skills to the next next level. The authors is quite influencial in the R community and "knows what he's talking about". This is for advanced R users!
An annual report from the World Trade Organisation, with statistical data in PDF and Microsoft Excel formats. This site also provides acces to selected historical time-series data
This article is divided into three parts: the first part explains the definition of the economically dependent self-employed and proposes ideas for improving this definition of this dependency. The second part of this article is dedicated to the working conditions of the self-employed, while the last part compares the job satisfaction of the self-employed, employees and family workers.
I have a major pet peeve that I need to confess. I go insane when I hear programmers talking about statistics like they know shit when it’s clearly obvious they do not. I’ve been studying it for years and years and still don’t think I know anything. This article is my call for all programmers…
JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.
The %ITEM macro computes descriptive statistics for analysis of data from a multiple-choice test. Each observation contains the answers from one subject to a set of questions ("items"). The data are compared to an answer key to determine which answers are correct. The score for each subject is computed as the number of correct answers. The output is very similar to that from the ITEM procedure in the SUGI Supplemental library, but several incorrect statistics have been fixed.
NOTE: Beginning in SAS 9.4, this macro is no longer needed. Use the OUTPLC= option in Base SAS PROC CORR to save a matrix of polychoric (or tetrachoric) correlations.
PURPOSE:
The %POLYCHOR macro creates a SAS data set containing a correlation matrix of polychoric correlations or a distance matrix based on polychoric correlations.
This sample combines macro programming with PROC FREQ and DATA Step logic to count the number of missing and non-missing values for every variable in a data set. The results are stored in a data set.
This sample illustrates one method of counting the number of missing and non-missing values for each variable in a data set. Two methods for structuring the resulting data set are shown.
The SELECT macro performs model selection methods for categorical-response models that can be fit in PROC LOGISTIC. These include models using the logit, probit, cloglog, cumulative logit, or generalized logit links. The macro supports binary as well as ordinal and nominal multinomial models.
Standard model selection is done by choosing candidate effects for entry to or removal from the model according to their significance levels. After completion, the set of models selected at each step of this process is sorted on the selected criterion - AUC, R-square, max-rescaled R-square, AIC, or BIC. The requested number of best models on the selected criterion is displayed.
NOTE: Beginning in SAS 9.2, the QIC statistic is produced by PROC GENMOD. Beginning in SAS 9.4 TS1M2, QIC is available in PROC GEE.
PURPOSE:
The %QIC macro computes the QIC and QICu statistics proposed by Pan (2001) for GEE (generalized estimating equations) models. These statistics allow comparisons of GEE models (model selection) and selection of a correlation structure.
Data science, also known as data-driven decision, is an interdisciplinery field about scientific methods, process and systems to extract knowledge from data in various forms, and take descision based on this knowledge. A data scientist should not only be evaluated only on his/her knowledge on mahine learning, but he/she should also have good expertise on statistics. I will try to start from very basics of data science and then slowly move to expert level. So let’s get started.
Der chinesische Export erreicht immer neue Rekordmarken und läßt nun den deutschen weit hinter sich. Dabei hat sich Chinas Anteil an der Weltindustrieproduktion seit 1996 von unter 5 % auf über 20 % mehr als vervierfacht und ist an den USA vorbei auf die Weltspitzenposition vorgerückt. Industriproduktion in 2012 in Mrd US$: USA 2064: CHINA 2168. Exporte von Industriegütern in die EU in Mrd € (2011) : aus Deutschland 312; aus China 294.
D. Heurtel-Depeiges, B. Burkhart, R. Ohana, and B. Blancard. (2023)cite arxiv:2310.16285Comment: 5+6 pages, 2+3 figures, submitted to "Machine Learning and the Physical Sciences" NeurIPS Workshop.