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1 == [[Home >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/]]| [[Registration >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Registration/]]| [[Important Dates>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Important%20Dates/]] | [[Scientific Programme>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Scientific%20Programme/]] | [[Speakers >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Speakers/]]| [[Instructions for Speakers>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Instructions%20for%20Speakers/]] | [[Travel and Accommodation>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Travel%20and%20Accommodation/]] | [[Sponsors >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Sponsors/]]| [[Committees >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Committees/]]| [[Contacts>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/Workshop%20on%20Survey%20Statistics%202022/Workshop%20on%20Survey%20Statistics%202022%20Contacts/]] ==
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3 = Instructions for Speakers =
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5
6 === Keynote speakers ===
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8 Keynote speakers are invited by Programme Committee. They give longer lectures on vital topics.
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10 === Invited speakers ===
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12 Invited lecturers represent network countries. They give a 45 min. lecture on important topics in survey statistics theory and application.
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14 === Contributed speakers ===
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16 (% style="color:#333333" %)The author of contributed paper has 20 minutes for presentation. The presentation usually summarizes the aim of the research or application, the methodology used and some of the results obtained. It may point out some open questions that are suitable for discussion.
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18 === (% style="color:#333333" %)Abstracts and templates(%%) ===
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20 (% style="color:#333333" %)Keynote, invited and contributed speakers should submit abstract of their talk for electronic Proceedings. Please prepare your abstract according to the template below and save it for the online submission.
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23 * (((
24 (% style="color:#606060" %)Extended deadline: by June 20
25 )))
26 * (((
27 Template in Latex: [[download here>>attach:Template of Abstract in Latex.tex]]
28 )))
29 * Template in Word: [[download here>>attach:Template of Abstract in Word.doc]]
30 * (((
31 Online submission form: [[(% style="color:#0000ff" %)https:~~/~~/elomake.helsinki.fi/lomakkeet/116581/lomakkeet.html>>url:https://elomake.helsinki.fi/lomakkeet/116581/lomake.html||shape="rect"]]
32 )))
33
34 === Topics for contributed papers ===
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36 Topics on survey and official statistics in a broad sense are welcomed for contributed papers. Topics on the main themes, Data integration, Non-probability surveys, Population statistics, Calibration and Model-assisted methods are encouraged.
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38 Examples of topics:
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40 * Combining data from different sources 
41 ** Integration of registers, sample surveys and big data
42 ** Register based statistics
43 ** Record linkage, data fusion
44 * Non-probability surveys
45 ** Methodology
46 ** Experiences and examples from official statistics
47 ** Computation
48 * Use of big data, web and internet surveys
49 ** Big data in official statistics, methods and applications
50 ** Survey data mining
51 ** Web surveys, opt-in surveys
52 * Survey sampling
53 ** Sampling methods and applications
54 ** Weighting and calibration methods, GREG estimation
55 ** Model-assisted methods
56 ** Variance estimation
57 * Survey methodology
58 ** Questionnaire design and testing
59 ** Data collection methods
60 ** Statistical disclosure control methods
61 * Non-response and non-sampling errors in surveys
62 ** Data editing and imputation
63 ** Estimation in the presence of non-response
64 ** Measurement errors in surveys
65 * Model-based and non-parametric methods
66 ** Multilevel and hierarchical modelling of survey data
67 ** Non-parametric methods in survey statistics
68 ** Bayesian methods
69 * Small area estimation
70 ** Fay-Herriot models and applications
71 ** Mixed models, MSE estimation
72 ** Poverty mapping, disease mapping
73 * Software in survey statistics
74 * Teaching of survey statistics
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76
77 ~-~--
78
79 //Last update 15 June 2022//