'Statistical model' presentation slideshows

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Efficient Prediction of Dynamic Response for Flexible and Multi-body Marine Structures Reza Taghipour , Professor Torge

Efficient Prediction of Dynamic Response for Flexible and Multi-body Marine Structures Reza Taghipour , Professor Torge

Efficient Prediction of Dynamic Response for Flexible and Multi-body Marine Structures Reza Taghipour , Professor Torgeir Moan. The objective is to establish models that enable efficient and robust analysis of wave-induced motion and structural response for novel marine structures.

By bernad
(414 views)

Credit Risk Plus and Credit Metrics

Credit Risk Plus and Credit Metrics

Credit Risk Plus and Credit Metrics. By: A V Vedpuriswar. October 4, 2009. Credit Risk Plus. Introduction. CreditRisk+ is a statistical credit risk model launched by Credit Suisse First Boston (CSFB) in 1997.

By issac
(1429 views)

Operations Research

Operations Research

Operations Research. The OR Process. What is OR?. It is a Process It assists Decision Makers It has a set of Tools It is applicable in many Situations. The Process: Recognize the Problem. Manufacturing Planning Design Scheduling Dealing with Defects Dealing with Variability

By julio
(232 views)

Statistics for Dummies? Understanding Statistics for Research Staff!

Statistics for Dummies? Understanding Statistics for Research Staff!

Statistics for Dummies? Understanding Statistics for Research Staff!. Those of us who DO the research, but not the statistics. Rachel Enriquez, RN PhD Epidemiologist. Why do we do Clinical Research?. Epidemiology. Epidemiology focuses on why we do clinical research. Official definition:

By duff
(1125 views)

Survival Analysis

Survival Analysis

Survival Analysis. In many medical studies, the primary endpoint is time until an event occurs (e.g. death, remission) Data are typically subject to censoring when a study ends before the event occurs

By adair
(207 views)

Changing Perspectives on Workforce System Performance- Adjustment Models

Changing Perspectives on Workforce System Performance- Adjustment Models

Changing Perspectives on Workforce System Performance- Adjustment Models. Workforce Innovations Conference July 21, 2004. USDOL Grant Project Overview Proposed Model Panel Response Q & A. Amanda Ahlstrand, USDOL-ETA Marcia Black-Watson, MI Randall Eberts, WE Upjohn Institute

By ivi
(152 views)

Expected Values, Standard Errors, Central Limit Theorem

Expected Values, Standard Errors, Central Limit Theorem

Expected Values, Standard Errors, Central Limit Theorem. FPP 16-18. Statistical inference . Up to this point we have focused primarily on exploratory type statistical analyses (with a little probability thrown in). We will now dive into the realm of statistical inference

By ide
(225 views)

Comparing SPM and FSL

Comparing SPM and FSL

Comparing SPM and FSL. Chris Rorden Contrasting SPM to FSL. FSL vs SPM5. We have focused on FSL Completely free Allows students to get a feel for fMRI analysis SPM is the most popular tool Free, but requires Matlab to run Here we contrast these tools. FSL3.3 vs SPM5. SPM5. FSL.

By tovah
(273 views)

Comparing SPM and FSL

Comparing SPM and FSL

Comparing SPM and FSL. Chris Rorden Contrasting SPM to FSL. FSL vs SPM5. We have focused on FSL Completely free Allows students to get a feel for fMRI analysis SPM is the most popular tool Free, but requires Matlab to run Here we contrast these tools. FSL3.3 vs SPM5. SPM5. FSL.

By zafirah
(811 views)

Lecture 16: Logistic Regression: 	Goodness of Fit 	Information Criteria 	ROC analysis

Lecture 16: Logistic Regression: Goodness of Fit Information Criteria ROC analysis

Lecture 16: Logistic Regression: Goodness of Fit Information Criteria ROC analysis. BMTRY 701 Biostatistical Methods II. Goodness of Fit. A test of how well the model explains the data Applies to linear models and generalized linear models How to do it?

By olympia
(347 views)

An Illustrative Example of Logistic Regression

An Illustrative Example of Logistic Regression

An Illustrative Example of Logistic Regression.

By avi
(172 views)

1-year Review of 2018 Employment Industry Forecast

1-year Review of 2018 Employment Industry Forecast

1-year Review of 2018 Employment Industry Forecast. Division of Economic Development Louisiana State University. Louisiana Workforce Commission. Methodology. Baseline statistical model from historical data using the MicroMatrix software (846 regional industry forecasts)

By tyne
(173 views)

Active Shape Models

Active Shape Models

Active Shape Models. Suppose we have a statistical shape model Trained from sets of examples How do we use it to interpret new images? Use an “Active Shape Model” Iterative method of matching model to image. Building Models. Require labelled training images

By yule
(304 views)

Regression Analysis Simple Regression

Regression Analysis Simple Regression

Regression Analysis Simple Regression. y = mx + b. y = a + bx. y = a + bx. where: y dependent variable (value depends on x) a y-intercept (value of y when x = 0) b slope (rate of change in ratio of delta y divided by delta x) x independent variable. Assumptions. Linearity

By trixie
(318 views)

MBA Math Review

MBA Math Review

MBA Math Review. Module 2 Derivatives Optimization Functions of Several Variables. t = 1. t = 0. t = 2. t = 3. A Simple Example. Suppose we observe an apple falling from a (very tall) tree. . Physics says after t seconds the apple falls 16t 2 feet.

By gilbert
(163 views)

Some Thoughts on the Philosophy of Modeling

Some Thoughts on the Philosophy of Modeling

Some Thoughts on the Philosophy of Modeling. Stephen H. Jenkins Department of Biology University of Nevada, Reno 18 July 2005. Outline. The good and the bad parts of the big picture Where does modeling fit in science? Dichotomies in types of models Purposes of models A concrete example

By marquis
(204 views)

Lecture 4 Non-Linear and Generalized Mixed Effects Models

Lecture 4 Non-Linear and Generalized Mixed Effects Models

Ziad Taib Biostatistics, AZ MV, CTH Mars 2009. Lecture 4 Non-Linear and Generalized Mixed Effects Models. 1. Date. Part II Introduction to non-linear mixed models in Pharmakokinetics. Typical data. One curve per patient. Concentration. Time. Common situation (bio)sciences:.

By vernados
(275 views)

Labor Markets and Inflation: The International Wage Flexibility Project

Labor Markets and Inflation: The International Wage Flexibility Project

Labor Markets and Inflation: The International Wage Flexibility Project. Presentation at National Bank of Belgium Conference on Wage and Price Rigidities in an Open Economy 13 October, 2006. What is the IWFP?.

By gwyn
(135 views)

PhD Aspirations: The Effect of Grades, Academic Self-Confidence, Faculty,and Research on Undergraduates

PhD Aspirations: The Effect of Grades, Academic Self-Confidence, Faculty,and Research on Undergraduates

PhD Aspirations: The Effect of Grades, Academic Self-Confidence, Faculty,and Research on Undergraduates. Linda DeAngelo AERA 2009 – San Diego, CA. Statistical Model for PhD Aspirations. Interaction Between Initial Aspirations and Faculty Encouragement. All Students.

By lacy
(154 views)

Statistical Criteria for Establishing Bio-inequivalence among Drug Products

Statistical Criteria for Establishing Bio-inequivalence among Drug Products

Statistical Criteria for Establishing Bio-inequivalence among Drug Products . Qian H. Li, Lawrence Yu, Donald Schuirmann, Stella Machado, Yi Tsong CDER, FDA. Outline of the Presentation . Definition of bio-inequivalence Explanation on failing to show bioequivalence

By kwanita
(192 views)

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