'Series data' presentation slideshows

Introduction to SAS

Introduction to SAS. What is a data set?. A data set (or dataset) is a collection of data, usually presented in tabular form. Each column represents a particular variable. Each row corresponds to a given member of the data set in question. . There are three types of datasets. Cross-sectional

656 views • 36 slides

Approaches to Investigating Technology Solutions In Data Intensive Astronomy

Approaches to Investigating Technology Solutions In Data Intensive Astronomy. G. Bruce Berriman gbb@ipac.caltech.edu NASA Exoplanet Science Institute, Infrared Processing and Analysis Center, Caltech Innovations in Data Intensive Astronomy, May 3-5 2011.

453 views • 33 slides

Basic Statistics Presentation

mean median mode

625 views • 32 slides

Yuanyuan Zhao, Chunyang He, Yang yang Beijing Normal University, Beijing, China, 100875

2011 IEEE International Geoscience and Remote Sensing Symposium. Improving change vector analysis in multitemporal space to detect land cover changes by using cross-correlogram spectral matching algorithm. Yuanyuan Zhao, Chunyang He, Yang yang Beijing Normal University, Beijing, China, 100875

516 views • 31 slides

Seattle 2006

Letelier. Seattle 2006. IERP. Large Scale Changes in the North Pacific. Ricardo M Letelier College of Oceanic and Atmospheric Sciences Oregon State University Seattle May 2, 2006. Letelier. Seattle 2006. IERP. Ecosystem structure: species composition (abundance and diversity)

406 views • 30 slides

An Economic Analysis of Health Care in China

348 views • 28 slides

Data conditioning and veto for TAMA burst analysis

Data conditioning and veto for TAMA burst analysis. Masaki Ando and Koji Ishidoshiro (Department of Physics, University of Tokyo) and the TAMA Collaboration. Main output. Monitor signals. Data conditioning (Whitening, freq.-band selection, Line removal).

418 views • 27 slides

Data conditioning and veto for TAMA burst analysis

Data conditioning and veto for TAMA burst analysis. Masaki Ando and Koji Ishidoshiro (Department of Physics, University of Tokyo) and the TAMA Collaboration. Main output. Monitor signals. Data conditioning (Whitening, freq.-band selection, Line removal).

325 views • 24 slides

Business and Economic Forecasting

Business and Economic Forecasting. Mohammad Arief. Overview. Demand Forecasting is a critical managerial activity. Qualitative. Quantitative. Gives the expected direction Up, down, or about the same. Gives the precise amount or percentage. THE SIGNIFICANCE OF FORECASTING.

489 views • 23 slides

Costs of PQ Networks

265 views • 19 slides

Publishing and Accessing Services using ArcGIS for Flood Analysis

Publishing and Accessing Services using ArcGIS for Flood Analysis. Harish Sangireddy The University of Texas at Austin. Outline. Organizing data for capturing flood events. Publishing map services to ArcGIS online. Accessing time series data in ArcMap . Organizing data for Flood events.

304 views • 17 slides

High Availability PI System Denis Vacher Paul Combellick

High Availability PI System Denis Vacher Paul Combellick. Rev 5. High Availability PI System. The PI Server Story Architecture Review Features, Benefits, Best Practices Going Forward AF High Availability AF/SQL Server Architecture Demo of AF 2.1 Feature Summary Closing Words.

417 views • 16 slides

Arc Hydro Groundwater & Time

261 views • 16 slides

ECN 211 Statistics for Economics I

ECN 211 Statistics for Economics I. LECTURE 1. What are statistics?. A way to get information from data. A broad range of techniques, procedures for gathering, organizing, analyzing and displaying quantitative data. Key concepts.

326 views • 13 slides

q uantity

Demand for Water. q uantity. price. Pseudo R2=0.857. Sampling Distribution. Sampling Distribution of the OLS Estimators. Draw another random sample of smokers . New estimate of. Drawing repeated samples of smokers. Sample of s. Drawn from the sampling distribution of.

248 views • 9 slides

Bioinformatics Research Group SRI International latendre@ai.sri.com

New Zoomable Web Metabolic Network And Regulatory Network Diagrams. Mario Latendresse. October 2010. Bioinformatics Research Group SRI International latendre@ai.sri.com. Web Zoomable Overviews . Regulatory Overview Currently available only for E. coli K12 Cellular Overview

149 views • 8 slides

Scales and Patterns in Time-Series Data

Scales and Patterns in Time-Series Data. Developed by the graduate students of Dr. Feng Sheng Hu. 400. 350.

134 views • 7 slides

BEA Experience with NAWWE

104 views • 4 slides

INTRODUCTION

An Information-theoretic Dissimilarity For Clustering Gene Expression Profiles Models. Jyotsna Kasturi , Raj Acharya , Shruthi Prabhakara Department of Computer Science and Engineering, Penn State University. INTRODUCTION.

102 views • 1 slides

Zara uses operations research to reengineer its global distribution process

Zara uses operations research to reengineer its global distribution process. GLOBAL DISTRIBUTION PROCESS OF ZARA. Sophisticated operations research models Two central warehouses 1500 stores worldwide 3-4 percent sale increase. Outline. Introduction

658 views • 0 slides