PPT-Common Statistical Issues

Andy Vail MDSG meeting 8 th July 2013 Outline MDSG templates Protocol stage Literature review Structure of comparisons Outcomes Risk of Bias Heterogeneity Subgroup amp Sensitivity analyses. Initial practical steps at the ABS. Helen . Toole. Jennifer Mitchell. Alistair Hamilton . Structure of presentation. Context. ABS IMTP . (. Information Management Transformation Program. ). Nascent international progress toward “industry” architecture for production of official statistics. Morphometry. Methods for Dummies 2013. Elin. Rees & Peter . McColgan. Contents. General idea. Pre-Processing. Spatial normalisation. Segmentation. Modulation. Smoothing. Statistical analysis. GLM. Claudia Junker, Eurostat, head of unit "Statistical cooperation". ASEAN regional workshop on strategic statistical planning. 28-29 November 2012, Jakarta. 2. Outline. Policy relevance of European statistics. GSBPM. Generic Statistical Information Model (GSIM. ). Thérèse Lalor. Alistair Hamilton. Perspectives : Information & Process. Data (Information) Centric View :. A useful collection of well defined simple and compound data items are transformed by various processes into usable forms for the greater good of the data consumer. Experiences from the Australian Bureau of Statistics (ABS). Trevor Sutton. 1. Outline. “Industrialisation” and the need for a strategic focus on statistical business processes. Introduction to GSBPM as a reference model . WinDbg. Tess Ferrandez - Norlander. Support Escalation Engineer. Microsoft. Session Code: WUX405. How many of you have ever had . …. a. Crash. h. igh memory usage or OOM. s. low response times in your application. Director National Accounts. Session 3: National Accounts in the wider statistical context. . Two papers. Jacques . Magniez. (National Institute of Statistics and Economic Studies), . "The Platypus Syndrome". A Guide to Invigorating Debate. Model United Nations. A Standstill in Committee. A standstill is when:. Two major sides are unable to compromise.. Same thing is repeated over and over again.. Usually occurs during formal debate, but sometimes in . Provided all of the supporting documentation . Labeled each document. Provided clear copies. Highlighted or circled pertinent information.. Provided cost methodologies and allocations. Listed each document in the “List Supporting Documentation” section of each relevant schedule.. (and how to avoid them) . Conflict of Interest Disclosure. I have no potential conflict of interest to report. A quick tour of common statistical errors. Advice to help your submission pass statistical review. 8/09/01 Joint Statistical Meetings Using Real vs Simulated Data in an Introductory Statistics Course Christopher J. Malone Kansas State University 8/09/01 Joint Statistical Meetings Caldwell (1983), “Combining Real and Generated Data in Lab Exercises to Demonstrate Problems in Inference”, Proceedings of the Section on Statistics Education Prof Ken Rice, University of Washington. https://tinyurl.com/ahastats. Fun and exciting. Something I passed a course in once. Confusing and difficult. Statistics is…. Statistical thought (3 examples). Frank Yu. Australian Bureau of Statistics. Content. Modernisation:. Why, what and how . Challenges. International Collaboration. . The Challenges . Increasing cost & difficulty of acquiring data. Peter van de Ven. Head of National Accounts. OECD. Advisory Expert Group on National Accounts. Paris, April 13 – 15, 2016. Introduction. SNA 2008 distinguishes two different types of statistical units:.