How to Read Polls: Margins of Error, Samples, and Framing

Learning to read a survey means understanding margins of error, sampling, weighting, and media framing, with an essential ...

A Simple Saliva Test Could Tell You the Exact Moment When Your Brain Is Most Prepared to Learn

A new study reveals how a simple hormone balance in your saliva may be able to predict when your memory is at peak ...
Investopedia

Understanding Simple Random Sampling: Key Advantages and Limitations

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...
IEEE

Probabilistic Load Flow Evaluation With Hybrid Latin Hypercube Sampling and Cholesky Decomposition

Abstract: Monte Carlo simulation method combined with simple random sampling (SRS) suffers from long computation time and heavy computer storage requirement when used in probabilistic load flow (PLF) ...
IEEE

Random Sampling-Arithmetic Mean: A Simple Method of Meteorological Data Quality Control Based on Random Observation Thought

Abstract: The quality control of meteorological data has lately received great attention for its important significance to national ecological security and military security. However, the ...
The New York Times

This Is What Will Ruin Public Opinion Polling for Good

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...
GitHub

Windows Command-Line Obfuscation

analyse_obfuscation is a python3 module for finding common command-line obfuscation techniques for a given program, as described in this blog post. Note that the goal of this project is to show that a ...
Nature

Comparing classifier performance with baselines

Baselines are typically generated independently for each dataset using very simple models. Their role is to set the minimum level of acceptable performance and help with comparing relative ...
Nature

Efficient class of estimators for finite population mean using auxiliary attribute in stratified random sampling

The aim of this paper is to develop more effective methods for estimating population means in sample surveys using auxiliary attributes. To achieve this goal, we introduce a modified version of the ...
Quanta Magazine

Elegant Six-Page Proof Reveals the Emergence of Random Structure

When the mathematicians Jeff Kahn and Gil Kalai first posed their “expectation threshold” conjecture in 2006, they didn’t believe it themselves. Their claim — a broad assertion about mathematical ...
GitHub

miceRanger: Fast Imputation with Random Forests

Fast, memory efficient Multiple Imputation by Chained Equations (MICE) with random forests. It can impute categorical and numeric data without much setup, and has an array of diagnostic plots ...