'Discriminant analysis' diaporamas de présentation

Logistic Regression and Discriminant Function Analysis

Logistic Regression and Discriminant Function Analysis. Logistic Regression vs. Discriminant Function Analysis. Similarities Both predict group membership for each observation (classification) Dichotomous DV Requires an estimation and validation sample to assess predictive accuracy

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Supervised classification

Statistical Analysis of Microarray Data. Supervised classification. Application: ALL versus AML (data from Golub et al., 1999). Data source: Golub et al (1999). First historical publication searching for molecular signatures of cancer type. Training set 38 samples from 2 types of leukemia

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Advanced analysis: Classification, clustering and other multivariate methods.

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Computational Gene Finding

Computational Gene Finding. Greg Voronin Hui Zhao Xueyi(Judy) Xiao. CIS786 Intro to Comp Biol Instructor: Dr. Barry Cohen. The Challenge. Presented By Greg Voronin. Generate predictions of gene locations from primary genomic sequence by computational means Two principle means:

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Generally Discriminant Analysis

Generally Discriminant Analysis. ?? : ??? ?? : 2004/10/29. Outline. Introduction Classification Feature Space Transformation Criterion. Introduction. Discriminant Analysis discriminant (classification, predictor) ??? class ???? , ????????? , ????????????? , ?????????????

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Job Satisfaction and Staff Retention: HeadlineJobs Quality Workplace Index (2009H2)

Job Satisfaction and Staff Retention: HeadlineJobs Quality Workplace Index (2009H2) Dr CHUNG Ting-yiu Robert Director, Public Opinion Programme, the University of Hong Kong Outline of Presentation Study Design Survey Findings Job seeking / staff retention Job satisfaction

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Financial distress process Federal bankruptcy law Reorganization Liquidation

CHAPTER 24 Bankruptcy, Reorganization, and Liquidation. Financial distress process Federal bankruptcy law Reorganization Liquidation. What are the major causes of business failure?. Economic factors industry weakness poor location/product Financial factors too much debt

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Intelligent Decision-Making Support Systems (iDMSS)

Amirkabir University of Technology Computer Engineering & Information Technology Department. Intelligent Decision-Making Support Systems (iDMSS). Dr. Saeed Shiry. Introduction.

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Logistic Regression

Logistic Regression. Database Marketing Instructor: N. Kumar. Logistic Regression vs TGDA. Two-Group Discriminant Analysis Implicitly assumes that the Xs are Multivariate Normally (MVN) Distributed This assumption is violated if Xs are categorical variables

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A B S T R A C T

A B S T R A C T. The study presents the application of selected chemometric techniques to the pollution monitoring dataset, namely, cluster analysis, principal component analysis, discriminant analysis and factor analysis. Chemometric analysis

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Flexible Discriminant Analysis by Optimal Scoring

Flexible Discriminant Analysis by Optimal Scoring. ???. Outline. Introduction Generalization Linear Discriminant Analysis Example. Introduction. Mind : Linear discriminant analysis is equivalent to multi-response linear regression using optimal scorings to represent the groups.

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LECTURE 08: DIMENSIONALITY, PRINCIPAL COMPONENTS ANALYSIS

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Automatic Thresholding

Automatic Thresholding. Review: Image Quantization. Basic Idea of Image Segmentation. Segmentation is often considered to be the first step in image analysis. The purpose is to subdivide an image into meaningful non-overlapping regions, which would be used for further analysis.

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RISK ASSESSMENT OF SEWER CONDITION USING ARTIFICIAL INTELLIGENCE TOOLS Application to the SANEST sewer system

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Discriminant Analysis

Discriminant Analysis. Introduction Types of DA Assumptions Model representation , data type/sample size Measurements Steps to solve DA problems An numerical example SPSS commands. Discriminant Analysis.

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Status of the AGATA PSA

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Welcome to the Kernel-Class

Welcome to the Kernel-Class. My name : Max (Welling) Book: There will be class-notes/slides. Homework : reading material, some exercises, some MATLAB implementations. I like : an active attitude in class. ask questions! respond to my questions. Enjoy.

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Discriminant Analysis

Discriminant Analysis . Similar to Regression, except that criterion (or dependent variable) is categorical rather than continuous. -used to identify boundaries between groups of objects. For example: (a) does a person have the disease or not (b) Is someone a good credit risk or not?

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Advance Statistical Method CIT 6093 ARKANSAS STATE UNIVERSITY Department of

Dr. Ahmad Syamil. Advance Statistical Method CIT 6093 ARKANSAS STATE UNIVERSITY Department of Computer & Information Technology Fall 2005. Chapter Seven. OBJECTIVES. DISCRIMINANT ANALYSIS APPLICATION TECHNICAL DESCRIPTION CANONICAL ANALYSIS CANONICAL ANALYSIS VS DISCRIMINANT ANALYSIS.

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Abstract

Influence of Nitrogen Sources and Soil pH on Soil Microbial Communities in a Long-term Crop Rotation System Reji Mathew, Yucheng Feng, and Charles Mitchell Department of Agronomy and Soils, Auburn University, Auburn, AL 36849.

183 views • 1 slides