'Extreme value distribution' presentation slideshows

Multi-Choice Models

Multi-Choice Models. Introduction. In this section, we examine models with more than 2 possible choices Examples How to get to work (bus, car, subway, walk) How you treat a particular condition (bypass, heart cath., drugs, nothing) Living arrangement (single, married, living with someone).

945 views • 77 slides

Multi-Choice Models

Multi-Choice Models. Introduction. In this section, we examine models with more than 2 possible choices Examples How to get to work (bus, car, subway, walk) How you treat a particular condition (bypass, heart cath., drugs, nothing) Living arrangement (single, married, living with someone).

778 views • 77 slides

How To Tell A Secret Without Revealing It

How To Tell A Secret Without Revealing It. Enhanced Data Privacy in a Distributed Implementation of the Smith-Waterman Genome Sequence Comparison Algorithm Barry Lawson University of Richmond. Outline. Distributed volunteer computing A problem Related work A real-world application

571 views • 46 slides

Classical Statistics and Scoring of Alignments

Classical Statistics and Scoring of Alignments. Consider a probe of length l and a database of total length m. How many subsequences of length n are there in l ? l -n+1 How many subsequences of length n are there in m? m-n+1 SO THERE ARE EXACTLY

498 views • 44 slides

Human capital interventions Design and evaluation

Human capital interventions Design and evaluation. Introduction. In this lecture we will be looking at human capital interventions: Education Nutrition Health Why are they important? Externalities in HK and the role of HK in the growth process Imperfections in credit markets

593 views • 38 slides

Multivariate Extremes, Aggregation and Risk Estimation

464 views • 38 slides

1.28k views • 36 slides

Methodological summary of flood frequency analysis

573 views • 33 slides

Sequence comparison: Significance of similarity scores

Lecture 5A Tuesday, January 22, 2008. Sequence comparison: Significance of similarity scores. Genome 559: Introduction to Statistical and Computational Genomics Prof. William Stafford Noble. One-minute responses.

409 views • 33 slides

Statistical significance for trace recalling alignments

433 views • 30 slides

Consumer preferences towards biodiesel in Spain: A Choice Experiments Approach

418 views • 29 slides

FLOOD

FLOOD. Mrinmoy Majumder www.baipatra.ws. Definition. High stage in river when the river overflows and inundates the adjoining area Flood peak and frequency of the peak is an important consideration in hydraulic design

678 views • 20 slides

Lab7

Lab7. Twinscan, HMMER, PFAM. TWINSCAN. TwinScan. TwinScan finds genes in a "target" genomic sequence by simultaneously maximizing the probability of the gene structure in the target and the evolutionary conservation derived from " informant " genomic sequences.

350 views • 19 slides

Monte Carlo Simulation to Characterize Stormwater Runoff Uncertainty in a Changing Climate

G.S. Karlovits, J.C. Adam, Washington State University 2010 AGU Fall Meeting, San Francisco, CA. Monte Carlo Simulation to Characterize Stormwater Runoff Uncertainty in a Changing Climate. Outline. Climate change and uncertainty in the Pacific Northwest Data, model and methods Climate data

280 views • 16 slides