'Variance estimation' presentation slideshows

High Frequency Quoting: Short-Term Volatility in Bids and Offers

High Frequency Quoting: Short-Term Volatility in Bids and Offers. Joel Hasbrouck Stern School , NYU. Disclaimers. I teach in an entry-level training program at a large financial firm that is generally thought to engage in high frequency trading.

1.01k views • 89 slides

High Frequency Quoting: Short-Term Volatility in Bids and Offers

High Frequency Quoting: Short-Term Volatility in Bids and Offers. Joel Hasbrouck Stern School , NYU. Disclaimers. I teach in an entry-level training program at a large financial firm that is generally thought to engage in high frequency trading.

987 views • 89 slides

Wavelet Based Subband Shrinkage Models and their Applications in Denoising of Biomedical Signals

Wavelet Based Subband Shrinkage Models and their Applications in Denoising of Biomedical Signals. By Dr. S. Poornachandra Dean IQAC SNS College of Engineering. Objective. Denoising of biomedical signals with better performance. Types of noises. The muscle artifacts Respirator muscles

926 views • 69 slides

Variance Estimation

Optimal Number of Replicates for Variance Estimation Mansour Fahimi, Darryl Creel, Peter Siegel, Matt Westlake, Ruby Johnson, and Jim Chromy Third International Conference on Establishment Surveys (ICES-III) June 21, 2007. Variance Estimation.

710 views • 44 slides

Using the IEA IDB Analyzer to merge and analyze data

Using the IEA IDB Analyzer to merge and analyze data. Table of content. Introduction to the IEA IDB Analyzer Installation process Selecting and merging data Hands-on training. Table of content. Introduction to the IEA IDB Analyzer Installation process Selecting and merging data

696 views • 41 slides

EMR 6500: Survey Research

EMR 6500: Survey Research. Dr. Chris L. S. Coryn Spring 2012. Agenda. Elements of the sampling problem Some basic concepts of statistics Case Study #1. Elements of the Sampling Problem. Technical Terms (Again). An element is an object on which a measurement is taken

508 views • 39 slides

Indirect Sampling

Indirect Sampling. Jerilyn Boykin and Zhongxue Chen. Indirect Sampling. Introduction: What is indirect sampling? Generalized Weight Sharing: A Unified Method Some specific cases Cross Sectional Estimation (Ernst, 1989) Multiplicity Estimation (Sirken, 1970)

547 views • 39 slides

Using Stata for Subpopulation Analysis of Complex Sample Survey Data

1.22k views • 35 slides

Output Analysis: Variance Estimation

Output Analysis: Variance Estimation. Jong-hyun Ryu. Contents. Motivation (Quality Control Chart) Collecting output data Type of simulations Steady-State Simulation Stochastic Stationary Process Variance Estimation Methods Replication Method Batch mean methods

605 views • 31 slides

Variance Estimation in Complex Surveys

Variance Estimation in Complex Surveys. Drew Hardin Kinfemichael Gedif. So far. Variance for estimated mean and total under SRS, Stratified, Cluster (single, multi-stage), etc. Variance for estimating a ratio of two means under SRS (we used linearization method). What about other cases?.

471 views • 27 slides

359 views • 25 slides

Training Workshop on the ICCS 2009 database Weighting and Variance Estimation

Training Workshop on the ICCS 2009 database Weighting and Variance Estimation. picture. 1. Content of this presentation. Analyzing weighted data Standard errors What are they? Why do we need them? How do we estimate them?. What are sampling weights ?.

436 views • 23 slides

Training Workshop on the ICCS 2009 database Weighting and Variance Estimation

Training Workshop on the ICCS 2009 database Weighting and Variance Estimation. picture. 1. Content of this presentation. Analyzing weighted data Standard errors What are they? Why do we need them? How do we estimate them?. What are sampling weights ?.

326 views • 23 slides

Latin American Laboratory for Assessment of the Quality of Education - LLECE

Latin American Laboratory for Assessment of the Quality of Education - LLECE. Using Stata to asses the achievement of Latin American students in Mathematics, Reading and Science Roy Costilla. Outline. Why Stata? What the SERCE is? Stata at work Challenges Concluding remarks.

320 views • 20 slides

Estimating Performance Below the National Level

Fourth Annual IES Research Conference. Estimating Performance Below the National Level. Applying Simulation Methods to TIMSS. Dan Sherman, Ph.D. American Institutes for Research June 8, 2009. Current TIMSS Not Appropriate For Direct State-level Estimates.

273 views • 19 slides

Comparison of Stratified and Non-stratified Most Similar Neighbor Approaches

Comparison of Stratified and Non-stratified Most Similar Neighbor Approaches. Bianca N.I. Eskelson, PhD Student Department of Forest Resources, OSU Hailemariam Temesgen, Assistant Professor Department of Forest Resources, OSU Tara M. Barrett, Research Forester

313 views • 19 slides

General Recommendations of the DIME Task Force on Accuracy

General Recommendations of the DIME Task Force on Accuracy. WG on HBS, Luxembourg, 13 May 2011. Main objectives of the DIME Task Force. Make recommendations on how to improve estimation and availability of standard errors of European statistics

191 views • 19 slides

Replicate Variance Estimation and High Entropy Variance Approximation

Replicate Variance Estimation and High Entropy Variance Approximation. Authors: John Preston & Tamie Henderson Presenter: Greg Griffiths. Motivation. Current use of replicate variance estimation techniques for ABS Surveys Interest in extension to p ps sampling schemes. Notation.

424 views • 17 slides

Emilio Di Meglio and Emanuela Di Falco (EUROSTAT)

Continuous improvement of EU-SILC quality: standard error estimation and new quality reporting system. Emilio Di Meglio and Emanuela Di Falco (EUROSTAT). Why variance estimation?. Requested by regulation Quality report Compliance Requested by users Policy relevance of indicators

416 views • 15 slides

Handbook on Precision Requirements and Variance Estimation for ESS Household Surveys

Handbook on Precision Requirements and Variance Estimation for ESS Household Surveys. Denisa Florescu, Eurostat European Conference on Quality in Official Statistics Vienna, 3-5 June 2014. Contents. Standard formulation of precision requirements

307 views • 11 slides