lars lyberg

@LybergL

Retired statistics professor and Head R&D, Stat Sweden, Senior advisor at Demoskop, Survey Quality consultant, Guardian of Gaia the Cat, AIK and Orioles fan

Stockholm
Vrijeme pridruživanja: veljača 2015.
Rođen/a 1944.

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  1. prije 3 sata

    On interviewer training in comparative surveys. A rare document.

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  2. proslijedio/la je Tweet

    Last week, 🇳🇴 published an interview with our Director, . Rory discussed the running of our survey, increasing the number of participating countries, the future of collection and his favourite survey question.

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  3. proslijedio/la je Tweet
    4. velj

    Systemet att utse nästa presidentkandidat är inte värdigt ett land som kallas supermakt.

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  4. proslijedio/la je Tweet
    2. velj

    Denna vackra, unga och så starka kvinna sitter nu fängslad i Iran där hon utsätts för mental och fysisk tortyr, inklusive våldtäkt. 16 år i fängelse - hennes straff för att ha tagit av sig slöjan i videon. Var är alla gapande, svenska feminister nu? Vilka äckliga hycklare ni är!

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  5. proslijedio/la je Tweet

    What of the future for scientists in the UK? Following on from 's excellent piece as we leave the UK, I add my own thoughts on consequences for people and funding

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  6. proslijedio/la je Tweet
    1. velj

    Nice article by Michael Wallace on behalf of the in communicating clearly about measurement error concepts, consequences and potential solutions

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  7. proslijedio/la je Tweet
    31. sij

    JOB! (Full) Professor of Statistics, Newcastle University, UK. Closing date 13/4/20. Please RT.

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    1. velj

    While it is great to read about compensation for statisticians; however, this doesn't capture the fun of working with data, designing studies to answer important questions, crafting solutions extract information with data -

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    Sometimes polls tell us who's likely to win. Sometimes they tell us things like: -It's a close race -There are no clear leaders -There's unusually high volatility These are less satisfying answers, but they're still answers.

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    2. velj

    . talked with Cédric Villani, the mathematician who would be mayor of Paris

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  11. proslijedio/la je Tweet
    1. velj

    Hittade denna godingen.

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  12. proslijedio/la je Tweet
    1. velj

    Andra galna Sidaprojekt är 200mkr. till tankesmedjan International Center for Trade and Sustainable Development. 54mkr. till Tanzania för sockerrörsplantage som aldrig lyckades plantera en enda sockerrörsplanta. 70mkr. till jämställd snöröjning i Ukraina.

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  13. proslijedio/la je Tweet
    31. sij

    The American Family Health Study (AFHS) is a brand new national data collection based at . This project will feature modular, mixed-mode data collection using web and mail, and will measure the health of a national probability sample. See for more!

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    30. sij

    Manager Brandon Hyde, calling into "Orioles Hot Stove Show" on , watched Alex Cobb throw a side session at minicamp earlier this month. "He looked great, he felt great, so that's huge news for us."

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  15. proslijedio/la je Tweet
    28. sij

    Happy to hear that this paper on interviewer effects in conversational interviewing was one of the in JRSS-A over the past two years. Should be open-access if you are interested!

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  16. proslijedio/la je Tweet
    27. sij

    Hur gör man bra opinionsmätningar år 2020? (Och andra surveyundersökningar) Låter det som ett intressant ämne för dig? Anmäl dig då till Surveyföreningens Kvalitetsseminarium 20/2 i Stockholm! Läs mer här:

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  17. proslijedio/la je Tweet
    26. sij

    I find that this mindset is helpful in any situation involving data analysis, not just surveys. We’re not the only people to think about missing data, but think we have a formalism about it that can be missing in other fields.

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    26. sij

    This is so true. One thing I love about the survey methods field is the emphasis on disentangling the various reasons data may not resemble the population of interest. It’s critical to know what data isn’t observed and how that affects your inferences.

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  19. 27. sij
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    Here's kind of a fun/funky map. This is who our model thinks would win every state **in a Sanders-Biden race that was tied nationally**. (Note: they are not tied nationally now and there are still other candidates, etc., etc.) Sanders = dark blue, Biden = light blue.

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