scholarly journals Robust official business statistics methodology during COVID-19-related and other economic downturns

2021 ◽  
pp. 1-6
Author(s):  
Paul A. Smith ◽  
Boris Lorenc
Keyword(s):  
Data Collection ◽  
Statistical Methods ◽  
Robust Methods ◽  
Official Statistics ◽  
Business Statistics ◽  
Economic Downturns

Official statistics has not properly researched and understood how its methods and models behave at times of downturns (and potentially in the corresponding situation of similarly paced (unpredictable and fast) growths). There is generally a wish to make methods robust to unusual changes, but these are often tackled situation by situation. Production of official statistics during COVID-19 has necessitated some radical changes in both data collection and statistical methods; these have been introduced with admirable speed and dedication, but this process would have been made easier with a body of research already in place to draw from. We discuss the issues with the robustness of statistical methods during downturns, and highlight the opportunity to gather data which can be analysed to give evidence for the most robust methods to use as protection against poor measurement during future downturns.

Official Statistics and Big Data

Intersections ◽  
2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Johanna Giczi ◽  
Katalin Szőke
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Statistical Methods ◽  
Statistical Data ◽  
Use Cases ◽  
Official Statistics ◽  
Statistical Application ◽  
Statistical Systems ◽  
Data Collections

More than five years ago Eurostat started a project with the aim to 'tame' sources of Big Data in a way that they can be incoporated into official statistical systems. In order to solve the problems a statistician might be faced with during the official statistical application of Big Data, first of all, we give an overview of traditional data collection, and then point to the differences one has to face when dealing with Big Data. We introduce common sources of data (traditional, administrative) and highlight the ways huge sets of data are different compared to them. Next, we discuss characteristics of Big Data versus traditional statistical methods based on the qualitative criteria of official statistics, and we also elaborate on the problems of analysing Big Data. Finally, we provide a list of use cases for Big Data in official statistical data collections.

Kontribusi Kecerdasan Logik dan Minat Belajar Terhadap Prestasi Belajar Matematika

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Nadun Nadun ◽  
Dian J Permana
Keyword(s):  
Mathematics Achievement ◽  
Data Collection ◽  
Multiple Regression ◽  
Statistical Methods ◽  
Significant Influence ◽  
Multiple Choice ◽  
Choice Test ◽  
Multiple Choice Test ◽  
Learning Achievement ◽  
Written Test

<p>The purpose of this study was to determine the contribution of logical intelligence and interest in learning to Mathematics achievement. The method used in this study from survey and the study was conducted in SMA Depok municipality. Techniques used in the data collection done by using a questionnaire written test multiple choice test and questionnaire. Analysis of the data in this study using descriptive statistical methods with multiple regression testing.where this research results showed in: there is a significant influence jointly between logical intelligence variables (X1) and interest in learning (X2) on mathematics achievement (Y),which means learners have a good logical <br />intelligence and has been interested in Mathematics will greatly affect the learning achievement in SMA Depok municipality</p>

Big Data Techniques for Supporting Official Statistics

Web Services ◽  
2019 ◽  
pp. 728-744 ◽  
Author(s):  
Antonino Virgillito ◽  
Federico Polidoro
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Science ◽  
Official Statistics ◽  
The Core ◽  
Web Scraping ◽  
Collection Process ◽  
Data Collection Process ◽  
Data Source ◽  
Use Of Internet

Following the advent of Big Data, statistical offices have been largely exploring the use of Internet as data source for modernizing their data collection process. Particularly, prices are collected online in several statistical institutes through a technique known as web scraping. The objective of the chapter is to discuss the challenges of web scraping for setting up a continuous data collection process, exploring and classifying the more widespread techniques and presenting how they are used in practical cases. The main technical notions behind web scraping are presented and explained in order to give also to readers with no background in IT the sufficient elements to fully comprehend scraping techniques, promoting the building of mixed skills that is at the core of the spirit of modern data science. Challenges for official statistics deriving from the use of web scraping are briefly sketched. Finally, research ideas for overcoming the limitations of current techniques are presented and discussed.

Investigation of the Effects of Data Collection on Visual Stylometry

2014 ◽  
Vol 14 (04) ◽  
pp. 1450019
Author(s):  
C. Robert Jacobsen ◽  
Morten Nielsen
Keyword(s):  
Data Collection ◽  
Statistical Methods ◽  
Visual Art ◽  
Classification Method

Visual stylometry is the task of analysing visual art by mathematical and statistical methods. One branch of visual stylometry is to classify if a painting/drawing is made by the claimed artist; that this is achievable has been demonstrated for several artists and by different approaches. The present authors developed a contourlet-based classification method in a previous paper and here it is investigated how robust the conclusions of this method are to variations in the data collection.

Smoking is a risk factor for multiple sclerosis: a metanalysis

2007 ◽  
Vol 13 (5) ◽  
pp. 610-615 ◽  
Author(s):  
C.H. Hawkes
Keyword(s):  
Multiple Sclerosis ◽  
Risk Factor ◽  
Data Collection ◽  
Cigarette Smoking ◽  
Statistical Methods ◽  
Disease Onset ◽  
Case Control ◽  
Case Control Studies ◽  
Indirect Association ◽  
Rate Ratios

Several case control studies have probed a link between cigarette smoking and subsequent multiple sclerosis (MS). Data collection and statistical methods have varied, and frequently, case numbers have been small. Publications relating to MS and smoking are reviewed and combined where comparable methods have been used. Metanalysis of six informative studies show significantly elevated odds or rate ratios, ranging from 1.22 to 1.51, depending on the method of analysis, confirming that the risk of MS is increased for those who smoke prior to disease onset, as measured by commencement of symptoms. A variety of direct causative mechanisms are discussed, but an indirect association through health adverse conduct is favoured. Multiple Sclerosis 2007; 13: 610-615. http://msj.sagepub.com

scholarly journals PENGARUH GAYA KEPEMIMPINAN TERHADAP KINERJA KARYAWAN PADA LEMBAGA “BUMI DAMAI“ DESA KUWIRAN KECAMATAN KARE KABUPATEN MADIUN

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Ninik Srijani
Keyword(s):  
Data Collection ◽  
Statistical Methods ◽  
Leadership Style ◽  
Employee Performance ◽  
Positive Influence ◽  
T Test ◽  
The Other ◽  
Test Results ◽  
Other Hand ◽  
Regression Tests

<p>The purpose of this study was to influence of leadership style on employee performance in institution Bumi Damai Madiun. The sample in this study all existing employees in the institution Bumi Damai Madiun, totaling 34 people. Data collection using questionnaires. In analyzing the data used statistical methods to test the product moment correlation is valid whether or not the instruments used and the method of regression tests for testing the hypothesis put forward in this study. </p>The results showed that leadership style has relationships and a positive influence on the performance of employees at the Institute Bumi Damai Madiun. It is obtained from the correlation test that shows the value of rhitung is rtabel 0.339 0.740 whereas, on the other hand is 0.000 while the magnitude Sighit Sigprob 0.05. This means that the value rhitung ≥ rtabel (0.740 ≥ 0.339) or ≤ Sighit Sigprob (0.000 ≤ 0.05) meaning a rejection of H0 to show that leadership style has a relationship with employee performance on Institute <br /> Bumi Damai Madiun.  Further test results were also obtained Fisher, Fhitung value is 38.843 while the F table at 4.149, on the other hand is 0.000 while the magnitude Sighit Sigprob 0.05. This means that the value Fcount Ftabel ≥ (≥ 38.843 4.149) or ≤ Sighit Sigprob (0.000 ≤ 0.05) meaning a rejection of H0 which indicates that there is the influence of leadership style on the performance of employees at the Institute Bumi Damai Madiun. Besides t test results obtained, is 6.232 whereas tcount ttabel of 2.037, on the other hand is 0.000 while the value Sighit Sigprob 0.05. This means that tcount ≥ TTable (6.232 ≥ 1.694) or ≤ Sighit Sigprob (0.000 ≤ 0.05) meaning a rejection of H0 which shows that there are different leadership style influence on the performance of employees at the Institute Bumi Damai Madiun. R 2 of 0.548 results showed that 54.8% of employees affected by the performance variable leadership style, while the remaining 45.2% is influenced by other factors.

scholarly journals PENGARUH KETERAMPILAN TERHADAP PRODUKTIVITAS KERJA KARYAWAN PADA KONVEKSI ISTANA MODE MADIUN

2016 ◽  
Vol 4 (1) ◽  
pp. 96 ◽  
Author(s):  
Wiwin Wiranti
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Statistical Methods ◽  
Significant Relationship ◽  
Work Productivity ◽  
Sampling Technique ◽  
T Test ◽  
Employee Productivity ◽  
Test Results ◽  
F Test

<p>This  study aims to determine  tbe Employee   Skills in the Konveksi  Istana  Mode Madiun,  to determine  Employee  Productivity  in the Konveksi  Istana Mode Madiun,  as well as  to  determine   the  presence   or  absence   of  Vocational   Effect   on  Productivity   Among Employees   at the Konveksi  Istana  Mode  Madiun.  The  samples  in this  study  is purposive sampling   technique   that  all  employees   at  the  Konveksi   Istana   Mode   Madiun   part  of convection,   amounting  to 30 people.  Data  collection  using  questionnaires,   documentation and interviews.In    analyzing  the data using statistical  methods  Product  Moment,  To test this hypothesis   using the r test, F test and t test. The results  of the regression  analysis  ofY  = a +bX, the result Y = 11,737 + 0,757X,  to test that rcount  &gt; r liable  (0.784  &gt; 0.361),  or may be rejected  HO means  that there  is a skills  significant  relationship   with  work  productivity   of employee  at the Konveksi  Istana  Mode  Madiun.  Furthermore,   also obtained  results  which indicate that the F test ofF count &gt;F table (44,5752::4.196)  or ::;;Sighit Sigprob  (0,000 ::;;0.05). Thus HO is rejected,  it means  there is an overall  effect of skills on labor productivity   at the Konveksi  Istana  Mode  Madiun.  In addition,  the t-test results  obtained  thit&gt;  ttab  (6.676  &gt; 2.048) or Sig hit &lt; Sig prob (0.000 &lt; 0.025) this situation  can be said to be no different  from the effect of employee  skills on work productivity  of employee  at the Konveksi  Istana Mode Madiun.</p>

scholarly journals Methodologies of continuous improvement between theory and practice (Quality, Excellence Model, Kaizen) Model

2021 ◽  
pp. 105-132
Author(s):  
محمد حسن البخيت
Keyword(s):  
Data Collection ◽  
Social Science ◽  
Random Sample ◽  
Statistical Methods ◽  
Continuous Improvement ◽  
Descriptive Study ◽  
Research Community ◽  
Theory And Practice ◽  
Government Institutions ◽  
Descriptive Approach

This study dealt with the topic (methodologies of continuous improvement between theory and practice) - quality, excellence model, Kaizen - model, descriptive study on a sample of institutions in the state of Khartoum - Sudan. Which aims to know whether government institutions apply methodologies of continuous improvement or not, and support and motivate them to apply these methodologies and work to spread awareness to become a general culture among employees. The researcher followed the descriptive approach, as he used a number of data collection tools in scientific research, observation, interview and the questionnaire newspaper, and a stratified random sample was selected for (50) individuals from five institutions, each institution has ten individuals representing the entire research community, and the questionnaire was distributed Through the researcher personally. It was analyzed on a computer by the statistical package for social science (spss). Using statistical methods:

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