'Principal components' presentation slideshows

Multivariate Analysis

Multivariate Analysis. Many statistical techniques focus on just one or two variables Multivariate analysis (MVA) techniques allow more than two variables to be analysed at once Multiple regression is not typically included under this heading, but can be thought of as a multivariate analysis.

1.37k views • 57 slides

DAC, Diodes, Triacs

931 views • 56 slides

FMRI Data Analysis II: Connectivity Analyses

FMRI Data Analysis II: Connectivity Analyses. Dr. George Andrew James Research Associate The Wallace H. Coulter Department of Biomedical Engineering at the Georgia Institute of Technology & Emory University School of Medicine Tuesday, November 17, 2009. Overview of Connectivity Analyses.

999 views • 55 slides

NIR Spectroscopy: From PCA to Regression Following the Guiding Discipline

538 views • 44 slides

X-RAY GENERATOR COMPONENTS

X-RAY GENERATOR COMPONENTS. Electromagnetic Induction and Voltage Transformation. The principal function of the x-ray generator is to provide current at a high voltage to the x-ray tube. Electrical power available to a hospital or clinic provides up to about 480 V.

1.64k views • 39 slides

VARs and factors

806 views • 38 slides

Techniques for studying correlation and covariance structure

Techniques for studying correlation and covariance structure. Principal Components Analysis (PCA) Factor Analysis. Principal Component Analysis. Let. have a p -variate Normal distribution. with mean vector. Then. where. are eigenvectors of S of length 1 and. are eigenvalues of S.

1.08k views • 36 slides

State of Competition Regime in Ghana Country Research Report Presented at the Interim Review Meeting Banjul, The Gambia

State of Competition Regime in Ghana Country Research Report Presented at the Interim Review Meeting Banjul, The Gambia July 29-30, 2009. Outline. Introduction Privatisation & Regulatory Reforms Nature of Competition Sectoral Policies Existing Anti-Competitive Practices & Distortions

471 views • 34 slides

Principal Component Analysis (Dimensionality Reduction)

Principal Component Analysis (Dimensionality Reduction). By: Tarun Bhatia Y7475. Overview:. What is Principal Component Analysis Computing the compnents in PCA Dimensionality Reduction using PCA A 2D example in PCA Applications of PCA in computer vision

826 views • 33 slides

Lessons Learned: Building Multitenant Applications with the Windows Azure Platform

SVC33. Lessons Learned: Building Multitenant Applications with the Windows Azure Platform. Ben Riga benriga@microsoft.com. Phil Calvin CTO Sitemasher Corporation. Stephan Friedl Chief Architect Quark, Inc. A Definition. For our purposes:

885 views • 32 slides

Contingency Tables and Log-Linear Models

Contingency Tables and Log-Linear Models. Hal Whitehead BIOL4062/5062. Categorical data Contingency tables Goodness of fit G-tests Multiway tables log-linear models. Goodness of Fit With Categorical Data.

989 views • 31 slides

CLARREO Visible and Near-Infrared Studies

CLARREO Visible and Near-Infrared Studies. P. Pilewskie, G. Kopp, Y. Roberts, B. Kindel, N. Shanbhag University of Colorado, Laboratory for Atmospheric and Space Physics. LASP Science Studies. LASP Science Studies.

432 views • 30 slides

Using Control Charts to Monitor Process and Product Profiles

563 views • 29 slides

Elastic Tissue disorders

Elastic Tissue disorders. BY M.YOUSRY ABDEL-MAWLA. ELASTIC TISSUE. Elastic fibers are the principal components of connective tissue that impart resilience and elasticity to the skin.

851 views • 29 slides

8 th Iranian workshop of Chemometrics 7-9 February 2009

In the Name of God. Progress of Chemometrics in Iran. Mehdi Jalali-Heravi February 2009. 8 th Iranian workshop of Chemometrics 7-9 February 2009. First paper of Chemometrics in Iran. 8 th Iranian workshop of Chemometrics 7-9 February 2009. Chemometrics Events.

363 views • 21 slides

Elections in a Distributed Computing System

Elections in a Distributed Computing System. Hector Garcia-Molina . Presenter: Srinath Rao. Introduction to Elections. Strategies to deal with a node failure Have s/w which can operate continuously even as failures occur Halt temporarily, reorganize the system

451 views • 20 slides

Principal Component Analysis and Applications in Image Analysis

Principal Component Analysis and Applications in Image Analysis. Presented by Judy Jun Feng. Image Computing Group, Department of Computer Science . City University of Hong Kong. Outline. Introduction and History Bivariate or two variables case

682 views • 17 slides

Child Psychopathology in Context I Parental Transmission Models

Child Psychopathology in Context I Parental Transmission Models. Effects of maternal psychopathology on birth outcomes and later psychopathology Effects of adolescent status and states of mind on child attachment and maternal sensitivity

379 views • 15 slides

Distillation

Distillation. Philip Meaden. Part 1: Malting, Mashing and Fermentation Part 2: Distillation of Malt Spirit Part 3: Distillation of Grain Spirit Part 4: Distilled Beverages other than Scotch Whisky Part 5: Flavour and Maturation Part 6: Cooperage Part 7: Blending and Packaging.

369 views • 11 slides

ERDAS IMAGINE

ERDAS IMAGINE. An overview of the Mosaic and Resolution Merge Function. Michael Ryan 2003.03.18. The Mosaic Function. The Mosaic Function. The Mosaic Function. The Resolution Merge Function. Multiplicative is based on simple arithmetic integration of the two raster sets.

643 views • 8 slides