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Statistics Views: Best of 2017

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Best of 2017
We’ve looked back over 2017 to see what interested you most last year. Take a moment to browse the highlights of 2017 here
 
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Top Features

"I'm a statistical engineer": an interview with Diego Kuonen

Diego Kuonen is a statistical consultant with his own successful software-vendor independent company, Statoo Consulting which he launched in 2001 and is also a professor at the University of Geneva, where he primarily teaches business analytics.

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"I think our biggest challenge in statistics is having enough people qualified to teach it"

Professor Jessica Utts is a professor of statistics at the University of California, Irvine. Best known for her work in applied statistics, she also passionately advocates statistics education and literacy and in 2003, wrote a well-known paper for American Statistician, a journal published by the American Statistical Association, calling for changes to standard statistics courses taught throughout the US.

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An interview with author Andrew Jawlik

Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed.

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The statistics behind your Amazon recommendations

The air is filled with love again. We are at that lovely part of the year, the one and only Valentine’s season. No one can deny the atmosphere is already filling with the holiday’s sensation: decorations, events, T.V. shows and the frenzy shopping for our loved ones. And what a shopping it is. In the United States alone, people spent a much respected $19.7 billion on Valentine’s Day during 2016 (Setting a new record, by the way).

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"We decided it was better to collaborate rather than to compete:" An interview with Dr Geert Molenberghs

Dr Geert Molenberghs is Professor of Biostatistics at Universiteit Hasselt and Katholieke Universiteit Leuven in Belgium. He has co-authored many books, including Missing Data in Clinical Studies with Michael Kenward for Wiley and is a Co-Editor of Wiley StatsRef, our online major reference works resource in statistics.

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Computer Simulations in Engineering

Computer simulations, or models, are computer programs that can predict or create a theoretical reality based on algorithms and statistical probabilities. The algorithms are designed to predict the most likely outcome/interactions and can be a useful tool in many engineering industries to determine the optimal working procedures. Computer simulations in their most basic sense are a step-by-step mathematical approximation applied to a real-world or theoretical environment.

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A Common Task Framework (CTF) for Objective Comparison of Spatial Prediction Methodologies

Scientists, engineers, and policy-makers are often interested in using statistical models to describe and predict (i.e., spatially interpolate) spatial processes given uncertain, and often incomplete observations. Principled statistical methods (e.g., kriging) to approach such “geostatistical” problems have been around for many decades (e.g., see Cressie, 1990, 1993).

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Interview with Ted Kwartler

Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information.

Author Ted Kwartler, a data science instructor at DataCamp.com, clearly describes all of the tools needed to perform text mining and shows you how...

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How to solve a problem like missing data

Missing data is a challenge for statisticians, policymakers and analysts, particularly when a robust evidence base is needed. This is often caused by three key reasons ? when data collection is done improperly, when mistakes exist in the data and when the data simply does not exist due to non-responses.

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People Analytics

More than half a dozen people, including statisticians, mathematicians and engineers are sitting together in a table, discussing strategies to tackle their new analytics challenge. Like many data analysis teams, they use a multi-disciplinary approach to develop an analysis guideline that relies on the latest statistical models, grounded on sound mathematical theory and implemented in the latest software.

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Highlights

I Participate, We Decide: Decision Analysis enters Italian high school and students win

Since 2015 high school students in Italy have to take part in activities known under the name of Alternanza Scuola/Lavoro (School/Work Alternation) so that they will spend 200 hours, over their final three years, on projects involving partners from industry, business, government, academic world, NGOs, etc. The purpose of the projects is to make students familiar with the work environment first hand...

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Feeding Britain after Brexit

Various origins have been proposed for the word ‘statistics’ but they all invoke the concept of the political state. Statistics, originally, was what states did in order to inform their rule ? perhaps the most obvious pioneering example in England being the Domesday Book compiled by the country’s rulers in 1086 in order to get a handle on their new dominions...

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Air Pollution: Time to Clear the Air?

Just how clean is the air that we breathe? At the end of last year, the European Environment Agency (EEA) and the World Health Organization (WHO) published independent reports on global air quality, with some pretty murky conclusions. With around 92% of the global population living in areas where air pollution exceeds WHO safe limits, the risk to health is considerable...

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Uncertainty, Statistical Science and Black Swans

A US Secretary of Defense in 2002 talked famously about “knowns” and “unknowns.” He used the words as both a noun and an adjective. In Science, we talk about uncertainty (a noun) that spans the whole scale from completely certain (i.e., known) to totally uncertain (i.e., unknown). In Statistical Science, we quantify that scale using probabilities: An event that is completely certain gets a probability of 1...

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Weighting: The statistical element essential in polling

A year ago this month, Donald Trump became the 45th President of the United States of America. As a statistician, I am currently reviewing five poll results which date from September 2016; all concerning this last U.S. Presidential race [1]. As you would expect, results from different pollsters vary somehow. Four of the five polls have Hillary Clinton winning. The first one has the ex-secretary of state with a three-point advantage...

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"Astrostatistics is a field full of opportunities right now": An interview with Roberto Trotta

Dr Roberto Trotta is a theoretical cosmologist in the Astrophysics Group of Imperial College London, where I am a Reader in Astrophysics (equivalent to Associate Professor in the US), and the Director of Imperial’s Centre for Languages, Culture and Communication.

As Director of the Centre for Languages, Culture and Communication content...

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Top News
 
Trump vs
Statistics
Big data brings breast cancer
research forwards by 'decades'
10,000 and
counting
     
Wine and Cheese:
a statistical match
When is it
gin o'clock?
Full Fact software
against fake news
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Top Audio and Visual
 
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