måndag 20 januari 2020

Why 2020 is a "magic year"

Significance magazine

Let me tell you something: 2020 is a magic year. But what do I mean by that? To explain, grab a calculator and follow these instructions.

Sveriges nya dataportal

Sveriges dataportal

Sverige får nu en ny nationell dataportal med nytt namn och ny grafisk profil. Samtidigt blir det en ny webbadress, då öppnadata.se byts till dataportal.se. Lanseringen sker idag, men all funktionalitet finns inte på plats från start utan kommer att införas gradvis under 2020.

torsdag 16 januari 2020

Statistics Canada expects move to the digital cloud will prompt some rumbling

Calgary Herald
Statistics Canada is planning to move its information holdings to the digital cloud — a shift the national number-crunching agency acknowledges will prompt questions about the protection of sensitive data.

The initiative is part of the federal government’s “cloud-first strategy” to meet the increasing demand for online services and provide an alternative to its own, increasingly creaky computers.

söndag 5 januari 2020

Journalist Cheat Sheet to Understanding Polls

lördag 4 januari 2020

Ola Rosling – Efter Factfulness

Från Spotify

52. Ola Rosling – Efter Factfulness

52. Ola Rosling – Efter Factfulness

Hjärntillskott med Lydia

SEP 2019
23 MINS LEFT
Möt mannen bakom bubblorna som fortfarande ger oss den rätta bilden av världen. Hör också hur det är leva med 47000 obesvarade mail och att bli fixstjärna efter sin pappas död fast man inte vill...

https://open.spotify.com/episode/0Fdn0608KhM9xGXksqb32D

What’s Going On in This Graph?

torsdag 2 januari 2020

Statistics in 2019: Our Top Highlights of the Year

fredag 27 december 2019

tisdag 17 december 2019

Enhancing Access to and Sharing of Data : Reconciling Risks and Benefits for Data Re-use across Societies

OECD iLibrary
Current developments related to data-driven innovation, including in the context of the Internet of Things and artificial intelligence, have made data access and sharing more crucial than ever. Evidence presented in this report shows how enhancing access to and sharing of data (EASD) can help maximise the social and economic value of data re-use. It can increase the value of data to the data holder, and even more so to secondary data users, with additional positive spill-over benefits for country economies and society at large.

onsdag 11 december 2019

Methods and Theory: Inferential Machine Learning - Accelerating Statistical Methodology through ML


https://youtu.be/cmx5aSyQQxU

RKHS-based tests for Survival Analysis Tamara Fernandez - University College London, United Kingdom Using variational ...

Fler videos....

A severe forecast

tisdag 10 december 2019

Statistikfrämjandets senaste nyhetsbrev

  • Vem tycker du ska bli Årets Statistikfrämjare? Nominera nu!
  • Statistikfrämjandets och sektionernas årsmöten i Stockholm den 18-19/3 2020
  • Nordic Conference in Mathematical Statistics 22-25/6 2020
  • Tack för ett fantastiskt MarC Awards!
  • Ackreditering av statistiker
  • School for Simulation and Inference for SDEs and Other Stochastic Processes (YUIMA-project)
  • God jul och Gott nytt år önskar styrelsen!
Nyhetsbrev december 2019

måndag 9 december 2019

Debatten om opinionsmätningarna

Vad betyder egentligen ”varken bra eller dåligt”?

Politologerna
I enkätundersökningar är det ganska vanligt att de som svarar på enkäterna på vissa frågor får möjligheten att placera sig i mitten av en svarsskala med ojämnt antal svarsalternativ som är rangordnade, till exempel från bra till dåligt, från positivt till negativt, från mycket till litet eller liknande. Alternativet i mitten kallas ofta för skalans mittpunkt och svarsalternativet kan betecknas på olika sätt. I Sverige är det vanligt att mittpunkten betecknas med orden ”varken bra eller dåligt” om skalan går från bra till dåligt. Även alternativ som ”neutral” förekommer, liksom enbart siffror utan någon verbal etikett. Inom surveymetodforskningen kallas sådana skalor ofta för bipolära svarsskalor. Huruvida det är bra att erbjuda respondenterna en mittpunkt som svarsalternativ eller inte har debatterats länge inom forskningen och svaret beror i stort sett på vad enkätfrågan gäller.

Read more...

söndag 8 december 2019

Latest British national poll results 2019

From Wikipedia

Pollster/client(s)
Date(s)
conducted
Area
Sample
size
ConLabLib Dem
Lead
Deltapoll/The Mail on Sunday5–7 DecGB1,53344%33%11%11%
YouGov/The Sunday Times5–6 DecGB1,6843%33%13%10%
Opinium/The Observer4–6 DecGB2,00246%31%13%15%
Panelbase4–6 DecGB2,03343%34%13%9%
SavantaComRes/The Sunday Telegraph4–5 DecGB2,03441%33%12%8%
SavantaComRes/Remain United2–5 DecGB2,00542%36%11%6%
Ipsos MORI/Evening Standard2–4 DecGB1,54544%32%13%12%
SavantaComRes/The Daily Telegraph2–3 DecGB2,04142%32%12%10%
YouGov/The Times/Sky News2–3 DecGB1,69942%33%12%9%

lördag 7 december 2019

5 Statistical Traps Data Scientists Should Avoid

Predictive Analytics Times - machine learning & data science news
Fallacies are what we call the results of faulty reasoning. Statistical fallacies, a form of misuse of statistics, is poor statistical reasoning; you may have started off with sound data, but your use or interpretation of it, regardless of your possible purity of intent, has gone awry. Therefore, whatever decisions you base on these wrong moves will necessarily be incorrect.

Read more...

fredag 6 december 2019

Climate change: From the beginning, models have been remarkably accurate

Vox
The first systematic review finds that climate models have been remarkably accurate.

There are dozens of disciplines and subdisciplines within the broad ambit of climate science, studying everything from ancient geology to the spread of disease. But one discipline in particular is exposed to intense public scrutiny, the subject of long-running political and legal disputes: modeling.

Read more.....

torsdag 5 december 2019

Därför kan man inte lita på gamla SCB längre

tisdag 3 december 2019

Mätningarnas Mätning

Se även https://datastory.org/sv/appar/matningarnas-matning

måndag 2 december 2019

Cathie Marsh Memorial Lecture - Wellbeing in policy: it’s all subjective


https://youtu.be/rydY43h5w_4

This talk considered the various ways in which subjective wellbeing can, and should, be measured for the purposes of informing policy decisions. It addressed some of the methodological challenges as well as issues surrounding the acceptability of using subjective reports of wellbeing to guide resource allocation decisions. 

Speaker: Paul Dolan, Professor of Behavioural Science at the London School of Economics 

Discussant: Nancy Hey, Director of the What Works Centre for Wellbeing

söndag 1 december 2019

Överblick över olika mätmetoder

fredag 29 november 2019

Årets opinionsundersökare

Why Data Mining is Still Important in 2019

Why Data Mining is Still Important in 2019

The influence of technology on the world is constantly growing. In this new age where everything is being shifted to the online sphere, data has risen as the new currency. It has become the most important asset of every organization. Hence the uses of data mining in today’s world cannot be undermined or understated.

Data mining seems like magic to most people. Extreme accuracy and precision with the data loads are what make this highly powerful and as much intriguing. Data mining can be said to be an offshoot of the entire set of database technologies. It is a multi-pronged process that employs many elements from statistics like classification, regression, clustering and association. Additionally, many other non-statistical tasks are also an integral part of it. Earlier, going into the technical lanes that lead to data mining, let us take a short halt and try to arrive at its definition.

torsdag 28 november 2019

‘New poll suggests…’: How to tell when public opinion has really changed

Flow‐dependent stochastic coupling for climate models with high ocean‐to‐atmosphere resolution ratio

Quarterly Journal of the Royal Meteorological Society - Wiley Online Library

Current state‐of‐the‐art climate and also weather and seasonal forecast models represent the different climate subsystems, such as atmosphere, ocean, sea ice, and land surface, through a variety of modelling approaches. Different numerical methods are used to discretize these subsystems, which often require computational grids of a certain geometry. This often produces a climate model that is constructed from independent model components that are coupled at their respective interfaces (Valcke, 2013).

Klimatet just nu: Så går världens kamp mot klimatkrisen

DN - Klimatet just nu

Jorden blir allt hetare. Hav stiger, isar smälter. Hur långt har världen kommit med att bromsa klimathotet? Var befinner vi oss nu?

Fakta finns – och vi har samlat de viktigaste. Här kan du följa läget dag för dag, och se vart vi är på väg.

SCB tar betalt flera gånger

Foto: Christine Olsson/TT
Dagens Industri

DEBATT. Sveriges företagare tvingas avsätta resurser för att ge underlag till SCB:s statistik. Det är inte rimligt att en revisor ska behöva anlitas för att svara på frågorna. Men när företag vill få analyser från SCB tar man betalt, och ibland flera gånger för samma uppdrag, skriver René Bongard och Erik Ageberg.

tisdag 26 november 2019

Why Should You Learn R for Data Science?

Analytics Insight
Data Science is the most popular field of study in today’s world that leverages scientific methods, processes, algorithms and systems to convert structured and unstructured data into meaningful insights. Since it is mostly comprised of statistics, R is the bridging language of this field. It is a popular programming language and software environment and an important tool for data science.

RSS welcomes new initiative to develop data science qualification

StatsLife
The Royal Statistical Society welcomes a new project developing framework for a data science qualification at senior secondary school and introductory university level.

The International Data Science in Schools Project (IDSSP) Curriculum Framework has brought together international communities - from the USA, Canada, Australia, New Zealand and the UK - in statistics and computer science, to develop an ambitious framework for the standalone qualification in data science.