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The Respondent further explains that work in this field entails developing statistical questionnaires or using administrative records; designing data collection methods; developing and managing the collection of information; designing and implementing specifications for assessing the plausibility of data through editing and imputation; processing the cleaned records into statistical tables and databases; applying analytical tools to outline the major findings; and developing appropriate dissemination methods. (...) The Respondent further states that Applicant’s work on establishing databases do not entail experience in population census or vital statistics methodology and the Applicant’s work on the producing reports do not refer to either the methodology for conducting population and housing censuses, or the methods for producing vital statistics from civil registration. 18. (...) With respect to the second requirement of “a progressively responsible experience in methodological work in the field of population and housing censuses, civil registration and vital statistics at national or international level”, the Applicant points to the following key evidence: (a) his cover letter states that he has contributed to reports of the Secretary-General to the Commission of Population and Development and contributed to several reports and journals relating to population and mortality issues; (b) his experience in methodological work in the field of population and housing censuses, civil registration and vital statistics at national or international level started in 1993 when he established the Kannisto-Thatcher database on old age mortality; (c) two major methodological innovations introduced by the Applicant for estimating population at advanced ages, the “Survivor Ratio Method” and the “Estimating Size of Population Aged 90+ Method” are still used actively today. 20.
Language:English
Score: 1217225.5 - www.un.org/en/internalj...dt/judgments/undt-2019-161.pdf
Data Source: oaj
The Applicant contests the decision of the Statistics Division of the Department of Economic and Social Affairs (“DESA”), in the United Nations Secretariat, not to publish the Handbook on Poverty Statistics: Concepts, Methods and Policy Use (“the Handbook”). 2. (...) On 1 January 2006, the Handbook was published on the website of the Statistics Division. 6. The Applicant also worked on revising the manuscript for several months in 2006. 7. (...) In November 2007, the Statistics Division published the ECOWAS Poverty Profile.
Language:English
Score: 1063164.8 - www.un.org/en/internalj...t/judgments/undt-2012-053e.pdf
Data Source: oaj
It was a pleasure to assist countries of the ECOWAS region individually on an ad-hoc basis as well as to provide backstopping advice to strengthen capacity in the area of poverty statistics on two occasions organized in the region: a workshop on Poverty Statistics in July 2004 and the Expert Group Meeting in a Regional publication on Poverty Statistics both held in Abuja – Nigeria in July 2004 and February 2005 respectively. (...) In her 2005–2006 e-PAS the applicant described her work with ECOWAS during this period as – The preparation of the first United Nations Handbook on Poverty Statistics, Methods and Policy Use, and of its regional companion The ECOWAS Poverty Profiles: A Statistical and Policy Review, has been a major challenge during this reporting period and I look forward to contributing further to such important work of the Division … Her first reporting officer, the Services Chief, described her input as – For the Development Account Project in the ECOWAS region, [the applicant], provided the necessary leadership for the advancement of the regional publication on poverty statistics, by interacting closely with the senior management of the ECOWAS Secretariat and acting as their technical advisor in all matters related to the project. (...) In April/May 2006, according to both the Services Chief and the Chief of Demographic and Social Statistics Branch (the Demographic Chief), the applicant was transferred to the Demographic and Social Statistics Branch, UNSD.
Language:English
Score: 921135.3 - www.un.org/en/internalj...dt/judgments/undt-2010-093.pdf
Data Source: oaj
Riecan argues that the Secretary-General confounds the specific finding of a duty to consider e-PAS reports with the method of assessment. The UNDT was not requiring the assessment panel to assess the candidates by using solely the e-PAS nor did the UNDT require the assessment panel to add or replace this assessment method to one already chosen. (...) As already alluded to, the Administration has wide discretion to choose the best evaluation method in order to assess which candidates are most qualified for selection.12 In the instant case, the UNDT erred on a matter of law and exceeded its competence by ruling that the interview panel was under a duty to consider Mr. (...) In finding so, the UNDT improperly assumed the role of deciding which evaluation method should have been used and adopted an approach which is not institutionalized in the existing staff selection system established under the Staff Regulations and Rules. 23.
Language:English
Score: 897824.6 - www.un.org/en/internalj...at/judgments/2017-UNAT-802.pdf
Data Source: oaj
FAO Statistics Division works to strengthen the statistical processes throughout the Organization by developing improved methods and their implementation in the corporate Statistical Working System. FAO Statistical Working System FAO Statistical Working System is a corporate platform used in FAO for the processing and storage of statistical datasets, providing the framework needed to use the same methods, standards, classifications and approaches within statistical processes. Within the FAO Statistical Working System, the methodological innovation work focuses on progressively integrates the corporate statistical processes with the aim to improve the quality of FAO statistical production, methods and outputs.
Language:English
Score: 853534.5 - https://www.fao.org/food-agric.../methodological-innovation/en/
Data Source: un
In North America, Europe, Australia and New Zealand, statistical offices use disclosure control methods, particularly methods involving some form of data perturbation, to safely publish detailed and disaggregated census tables. (...) This study reviews the problem of statistical disclosure control for census tables and international best practice, focusing particularly on the use of perturbative methods; it carries out comparative analysis and testing of the cell perturbation method and random rounding methods; and recommends that these methods should be made available to statistical offices through the REDATAM software. (...) A review of SDC methods for census tables and international best practice .-- III.
Language:English
Score: 852908.5 - https://www.cepal.org/en/publi...-census-tables-proposal-expand
Data Source: un
Statistical production, methods and information technology | UNECE Skip to main content English Advanced Search   Main navigation About UNECE Executive Secretary Mission Organizational structure Secretariat Executive Committee Commission Legal instruments Work with us Our work Economic Cooperation & Integration Environmental Policy Forests Housing & Land Population Sustainable Energy Statistics Trade Transport Themes High-impact Areas Circular Economy Gender SPECA Technical cooperation THE PEP UN SG's Special Envoy for Road Safety UN Road Safety Fund UN cooperation in the UNECE region Regional Forum on Sustainable Development SDGs Open UNECE Events Meetings & Events Information for Delegates Coronavirus Advisory Publications Media Executive Secretary's Blog News Press Releases Covid-19 Press Releases Speeches Stories UNECE Weekly Videos UNECE Statistical production, methods and information technology More options Statistics Statistics Fundamental Principles of Official Statistics About us Networks of experts CES-TF Completed Work Meetings and Events Areas of Work Conference of European Statisticians About the Conference of European Statisticians (CES) CES Members' Guidebook Bureau of the Conference of European Statisticians (CES) Statistical development through in-depth reviews Economic statistics National accounts and globalization Price indices Business registers Employment statistics Leading, Composite and Sentiment Indicators Population, gender and society Demographic projections Gender statistics Population and housing censuses Migration statistics Poverty statistics Task Force on Valuing Unpaid Household Service Work Ageing-related statistics Sustainable development and environment Sustainable development and SDGs Climate change Environment statistics Environmental-Economic Accounting Hazardous events and disasters Millennium Development Goals (MDGs) Modernization of official statistics Human resources, organizational frameworks & evaluation Statistical production, methods and information technology Data collection and data sources Dissemination and communication Standards and metadata Statistical Capacity Development Publications Working Paper Series on Statistics Contact Us Partners Statistics wiki UNECE Statistical Database Statistical production, methods and information technology We work with groups of experts to develop standards, guidelines, methods and tools to modernize and improve the efficiency of statistical production. We facilitate virtual and face-to-face communication to share experiences and ideas between national and international statistical organizations. Work in this area covers topics such as: Business and IT changes that will impact statistical production Enterprise architecture and its role in the modernization of statistical production Innovation in technology and methods driving opportunities for modernization Best practices in statistical data editing, and the development of generic statistical data editing models Developing a modernization maturity model Applications of machine learning and artificial intelligence to official statistics Record linkage Resources Common Statistical Production Architecture (CSPA) CSPA Catalogue Generic Statistical Business Process Model (GSBPM) Generic Statistical Information Model (GSIM) Principles and Guidelines on Building Multilingual Applications for Official Statistics K-Base – Statistical Data Editing Knowledge Base Statistical confidentiality and disclosure protection ABOUT UNECE Mission Executive Secretary Organizational Structure OPPORTUNITIES Vacancies Internship Programme RESOURCES Statistical Database Evaluations Follow UNECE Facebook Twitter Contact us Flickr Rss Youtube Instagram © United Nations Economic Commission for Europe | Terms and Conditions of Use | Privacy Notice Contact us
Language:English
Score: 846492.6 - https://unece.org/statistics/s...ods-and-information-technology
Data Source: un
Global Strategy to Improve Agricultural and Rural Statistics | FAO | Food and Agriculture Organization of the United Nations العربية 中文 English Français Русский Español العربية 中文 English Français Русский Español house Data Release Social Food security and nutrition Environment Crop, livestock and food Economics Statistical Domains Crop, livestock and food Economics Environment Food security and nutrition Social Methodological innovation Census of agriculture Agricultural surveys Capacity Development SDG monitoring Global Strategy to Improve Agricultural and Rural Statistics Agricultural Integrated Survey Programme (AGRISurvey) 50x2030 Initiative to Close the Agricultural Data Gap Food security and nutrition measurement World Programme for the Census of Agriculture (WCA) Food balances Food loss and waste Damage and loss from extreme events in agriculture Agri-environmental indicators System of Environmental Economic Accounting for Agriculture Forestry and Fisheries (SEEA- AFF) Methods & Standards Resources News Publications Multimedia Events Archive Print Send Food and Agriculture Statistics house Data Release Statistical Domains Capacity Development Methods & Standards Resources SDG monitoring Global Strategy to Improve Agricultural and Rural Statistics Agricultural Integrated Survey Programme (AGRISurvey) 50x2030 Initiative to Close the Agricultural Data Gap Food security and nutrition measurement World Programme for the Census of Agriculture (WCA) Food balances Food loss and waste Damage and loss from extreme events in agriculture Agri-environmental indicators System of Environmental Economic Accounting for Agriculture Forestry and Fisheries (SEEA- AFF) Global Strategy to improve agricultural and rural statistics The Global Strategy to Improve Agricultural and Rural Statistics (Global Strategy) was developed as a blueprint for a coordinated and long-term initiative to address the decline in the agricultural statistical systems of many developing countries. (...) Significant results have been achieved: i) agricultural statistical methods have been completely upgraded and endorsed by FAO, ii) Strategic Plans for Agricultural and Rural Statistics (SPARS)have been prepared in almost 40 countries, iii) a fast-track model of technical assistance has been successfully implemented and iv) tangible progress has been made in countries’ overall capacity through regional training programmes. (...) Resources Action Plan Phase 2   Guidelines and Handbooks Training material: Technical Report on Improving the Use of GPS, GIS and Remote Sensing in Setting Up Master Sampling Frames Technical Report on Reconciling Data from Agricultural Censuses and Surveys Literature Review on Reconciling Data from Agricultural Censuses and Surveys Technical Report on Cost – Effectiveness of  Remote Sensing for Agricultural Statistics in Developing and Emerging Economies Technical Report on Developing More Efficient and Accurate Methods for the Use of Remote Sensing in Agricultural Statistics Technical Report on the Integrated Survey Framework Case-Studies on the measurement of productivity and efficiency in agriculture Pilot tests of an international definition of urban – rural territories - Summary report Methodology for definition and spatial delimitation of rural areas Master Sampling Frames - The field experiments conducted in Nepal Master Sampling Frames (MSF) for fishery and aquaculture statistics Gaps and Methodological Approach: A Critical Analysis of Methods for Surveys of Fisheries and Aquaculture Identifying the Most Appropriate Sampling Frame for Specific Landscape Types A Literature Review and Key Agri/Environmental Indicators Field Test Report on Agri-environmental Indicators (AEls): towards a Suistainable Agriculture How to Include the Wood fuel Supplementary Module into Existing Surveys and Derive Woodfuel Indicators Developing a Wood fuel Survey Module for Incorporation into Existing Household Surveys and Censuses in Developing Countries Improving the Methodology for Using Administrative Data in an Agricultural Statistic System Improving Methods for Estimating Livestock Production and Productivity - Methodological Report Improving Methods for Estimating Livestock Production and Productivity - Literature Review A Literature Review on Frameworks and Methods for Measuring and Monitoring Sustainable Agriculture Methodology for Estimation of Crop Area and Crop Yield under Mixed and Continuous Cropping A Review of Literature Related to Master Sampling Frames for Fisheries and Aquaculture Surveys Master Sampling Frames for Agriculture - Supplement on selected country experiences Productivity and Efficiency Measurement in Agriculture - Literature Review and Gaps Analysis The Social Dimension of Rural Statistics A Minimum Set of Environmental Indicators for Improving Rural Statistics Literature Review Report and Proposal for an International Framework for Farm Typologies Information on Land in the Context of Agricultural Statistics National Statistics Related to Woodfuel and International recommendations Agricultural Cost of Production - Country field test and Desk-study reports Sex-Disaggregated Data and Gender Indicators in Agriculture- A Review of data Gaps and Good Practices Improving methods for using existing land cover databases and classification methods - A literature review Linking Area and List Frames in Agricultural Surveys Measuring vegetable crops area and production: Technical report on a pilot survey in two districts of Ghana- Final report Field Test Report on the Estimation of Crop Yields and Post-Harvest Losses in Ghana Measuring inadequate employment in Kenya: Field test report for  Decent Work within an agricultural context in developing countries share mail live_help x FOLLOW US ON FAO Organizational Chart Worldwide Offices Regional Office for Africa Regional Office for Asia and the Pacific Regional Office for Europe and Central Asia Regional Office for Latin America and the Caribbean Regional Office for the Near East and North Africa Country Offices Jobs Contact us Terms and Conditions Scam Alert Report Misconduct Download our App © FAO 2022
Language:English
Score: 846399.6 - https://www.fao.org/food-agric...evelopment/global-strategy/en/
Data Source: un
Manual II - Methods of Appraisal of Quality of Basic Data for Population Estimates INTRODUCTION The need for appraisal of demographic statistics Population statistics, like all other statistics, whether they are obtained by enumeration, registration, or other means, are affected by errors. (...) Consequently, different methods have to be employed in different sit- uations for the appraisal of the accuracy of statistics. (...) Each of the fou~ chapters is. concer~ed with methods of testing as applIed to a .partIcu1ar ,kmd of statistics, namely cen- sus totals, statIstIcs of bIrths and deaths statistics of population by age and sex, and statistics ~f migration.
Language:English
Score: 844099 - https://www.un.org/en/developm...als/estimate/manual2/intro.pdf
Data Source: un
The purpose of the meeting is to (a) examine the state of vital statistics based on civil registration, with emphasis on low- and middle-income countries (LMICs), (b) review the state- of-knowledge with analytical methods to evaluate the proportion of actual vital events that are registered by the civil registration of vital statistics (CRVS) system and quality of vital statistics collected through civil registration, and (c) review lessons learnt from local and international experiences in applying these methods to various settings. (...) • What are the strengths and limitations of the various methods? • What are the lessons learned from recent experiences with the application of these methods to different settings? (...) Outcomes of the meeting: • A report summarizing the conclusions, lessons learned, and any recommendations based on the evidence presented and discussions at the meeting. • Two background papers published as technical papers of the Population Division on the state-of-knowledge on direct and indirect analytical methods to evaluate the completeness and quality of death registration, and recent experiences of the use of record linkage validation studies for CRVS evaluation. • The expert group meeting will also contribute to inform the development of a new UN handbook providing operational guidelines for the evaluation of geographic coverage of civil registration and state-of-the-art methods available to assess the completeness and quality of vital statistics data from civil registration at the national and subnational level.
Language:English
Score: 842980.9 - https://www.un.org/en/developm.../pdf/expert/26/ConceptNote.pdf
Data Source: un