Skip to content
Library Home
Start Over
Research Databases
E-Journals
Course Reserves
Library Home
Login to library account
English
Deutsch
Español
Français
Italiano
日本語
Nederlands
Português
Português (Brasil)
中文(简体)
中文(繁體)
Türkçe
עברית
Gaeilge
Cymraeg
Ελληνικά
Català
Euskara
Русский
Čeština
Suomi
Svenska
polski
Dansk
slovenščina
اللغة العربية
বাংলা
Galego
Tiếng Việt
Hrvatski
हिंदी
Հայերէն
Українська
Language
Library Catalog
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Find
Advanced Search
|
Browse
|
Search Tips
Statistical Analysis of Massiv...
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Statistical Analysis of Massive Data Streams : Proceedings of a Workshop.
Saved in:
Bibliographic Details
Main Author:
Statistics, Committee on Applied and Theoretical
Format:
eBook
Language:
English
Published:
Washington :
National Academies Press,
2004.
Subjects:
Mathematical statistics.
Statistics
>
Data processing.
Mathematical statistics
Statistics
>
Data processing
Online Access:
Click for online access
Holdings
Description
Table of Contents
Similar Items
Staff View
Table of Contents:
STATISTICAL ANALYSIS OF MASSIVE DATA STREAMS
Copyright
ACKNOWLEDGEMENT OF REVIEWERS
Preface and Workshop Rationale
Sallie Keller-McNulty Welcome and Overview of Sessions
TRANSCRIPT OF PRESENTATION
James Schatz Welcome and Overview of Sessions
TRANSCRIPT OF PRESENTATION
Douglas Nychka, Chair of Session on Atmospheric and Meteorological Data Introduction by Session Chair
TRANSCRIPT OF PRESENTATION
John Bates Exploratory Climate Analysis Tools for Environmental Satellite and Weather Radar Data
ABSTRACT OF PRESENTATION
1. Introduction2. Philosophy of the use of remote sensing data for climate monitoring
TRANSCRIPT OF PRESENTATION
Amy Braverman Statistical Challenges in the Production and Analysis of Remote Sensing Earth Science Data at the Jet�
TRANSCRIPT OF PRESENTATION
Ralph Milliff Global and Regional Surface Wind Field Inferences from Spaceborne Scatterometer Data
TRANSCRIPT OF PRESENTATION
Global and Regional Surface Wind Field Inferences Given Spaceborne Scatterometer Data Ralph F. Milliff
GLOBAL AND REGIONAL SURFACE WIND FIELD INFERENCES FROM SPACE-BORNE SCATTEROMETER DATABlending QSCAT and Weather-Center Analysis Winds
Bayesian Inference for Surface Winds in the Labrador Sea
Bayesian Hierarchical Model for Surface Winds in the Tropics
A Bayesian Hierarchical Air-Sea Interaction Model
References
Figure Captions
Summary
Report from Breakout Group
David Scott, Chair of Session on High-Energy Physics Introduction by Session Chair
TRANSCRIPT OF PRESENTATION
Robert Jacobsen Statistical Analysis of High Energy Physics Data
TRANSCRIPT OF PRESENTATIONPaul Padley Some Challenges in Experimental Particle Physics Data Streams
ABSTRACT OF PRESENTATION
TRANSCRIPT OF PRESENTATION
Miron Livny Data Grids (or, A Distributed Computing View of High Energy Physics)
TRANSCRIPT OF PRESENTATION
Report from Breakout Group
Daryl Pregibon Keynote Address: Graph Mining�Discovery in Large Networks
ABSTRACT OF PRESENTATION
TRANSCRIPT OF PRESENTATION
Sallie Keller-McNulty, Chair of Session on Integrated Data Systems Introduction by Session Chair
TRANSCRIPT OF PRESENTATIONJ. Douglas Beason Global Situational Awareness
ABSTRACT OF PRESENTATION
TRANSCRIPT OF PRESENTATION
Kevin Vixie Incorporating Invariants in Mahalanobis Distance-Based Classifiers: Applications to Face Recognition
TRANSCRIPT OF PRESENTATION
INCORPORATING INVARIANTS IN MAHALANOBIS DISTANCE BASED CLASSIFIERS: APPLICATION TO FACE RECOGNITION
I. INTRODUCTION
II. COMBINING WITHIN CLASS COVARIANCES AND LINEAR APPROXIMATIONS TO INVARIANCES
III. FACE RECOGNITION RESULTS
IV. CONCLUSIONS
V. ACKNOWLEDGMENT
REFERENCES
Similar Items
Frontiers in Massive Data Analysis.
by: Council, National Research
Published: (2013)
Statistical Methods and Computer Applications.
by: Arora, P. N.
Published: (2009)
An introduction to statistical computing : a simulation-based approach
by: Voss, Jochen
Published: (2013)
Numerical Methods of Statistics.
by: Monahan, John F.
Published: (2011)
Using MATLAB to solve statistical problems : a practical guide to the book "Statistics for chemical and process engineers"
by: Shardt, Yuri A. W.
Published: (2023)