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Fitting models to data – IV (Yet more on Maximum Likelihood Estimation)

Fitting models to data – IV (Yet more on Maximum Likelihood Estimation)

Fitting models to data – IV (Yet more on Maximum Likelihood Estimation). Fish 458, Lecture 11. The Poisson Distribution. The density function : rt is the expected number of events ( r is a rate and t is time). k is the number of discrete events (count data).

By rusty
(132 views)

Outline

Outline

Outline. I. What are z-scores? II. Locating scores in a distribution A. Computing a z-score from a raw score B. Computing a raw score from a z-score C. Using z-scores to standardize distributions III. Comparing scores from different distributions. You scored 76 How well did you perform?

By danelle
(185 views)

MALACCA STRAITS

MALACCA STRAITS

MALACCA STRAITS. Name: Poon Tsz Ha, Wendy Fu, Vivian TF Tse. Presentation Outline. Background of the project Methodology of the project Data Analysis Recommendations. Purpose.

By bena
(252 views)

Bayes’ Theorem

Bayes’ Theorem

Bayes’ Theorem. How to Estimate the Probability of an Hypothesis. Questions . What is Bayes’ theorem? What can you do with Bayes theorem? Why might it be useful? . Bayes Theorem (1).

By jacob
(262 views)

Lecture 20

Lecture 20

Lecture 20. Missing Data and random effect modelling. Lecture Contents. What is missing data? Simple ad-hoc methods. Types of missing data. (MCAR, MAR, MNAR) Principled methods. Multiple imputation. Methods that respect the random effect structure.

By jody
(180 views)

LECTURE 05: MAXIMUM LIKELIHOOD ESTIMATION

LECTURE 05: MAXIMUM LIKELIHOOD ESTIMATION

LECTURE 05: MAXIMUM LIKELIHOOD ESTIMATION. • Objectives: Discrete Features Maximum Likelihood Resources: D.H.S: Chapter 3 (Part 1) D.H.S.: Chapter 3 (Part 2) J.O.S.: Tutorial Nebula: Links BGSU: Example A.W.M.: Tutorial A.W.M.: Links S.P.: Primer CSRN: Unbiased A.W.M.: Bias. Audio:. URL:.

By lirit
(364 views)

LECTURE 09: MAXIMUM LIKELIHOOD ESTIMATION

LECTURE 09: MAXIMUM LIKELIHOOD ESTIMATION

LECTURE 09: MAXIMUM LIKELIHOOD ESTIMATION. • Objectives: Parameter Estimation Maximum Likelihood Resources: D.H.S: Chapter 3 (Part 1) D.H.S.: Chapter 3 (Part 2) J.O.S.: Tutorial Nebula: Links BGSU: Example A.W.M.: Tutorial A.W.M .: Links. Introduction to Maximum Likelihood Estimation.

By wan
(455 views)

HIPAA Live: From Plan to Breach to Investigation to Resolution

HIPAA Live: From Plan to Breach to Investigation to Resolution

HIPAA Live: From Plan to Breach to Investigation to Resolution . Marc Goldstone Kirk J. Nahra Senior Counsel Wiley Rein & Fielding LLP Tenet Health System Washington, DC Ft. Lauderdale, FL 202.719.7335 Marc.Goldstone@tenethealth.com KNahra@WRF.com HIPAA Summit (September 2006).

By gada
(169 views)

LECTURE 06: MAXIMUM LIKELIHOOD ESTIMATION

LECTURE 06: MAXIMUM LIKELIHOOD ESTIMATION

LECTURE 06: MAXIMUM LIKELIHOOD ESTIMATION. • Objectives: Parameter Estimation Maximum Likelihood Bias in ML Estimates Convergence Gaussian Example

By kordell
(198 views)

Markov Regime Switching Models

Markov Regime Switching Models

Markov Regime Switching Models. Generalisation of the simple dummy variables approach Allow regimes (called states) to occur several periods over time In each period t the state is denoted by s t . There can be m possible states: s t = 1,... , m. Markov Regime Switching Models.

By rocio
(479 views)

Direct-to-Consumer Advertising of Prescription Drugs: Current Issues

Direct-to-Consumer Advertising of Prescription Drugs: Current Issues

Direct-to-Consumer Advertising of Prescription Drugs: Current Issues. Kathryn J. Aikin, Ph.D. Division of Drug Marketing, Advertising and Communications, FDA Marketing Pharmaceuticals in a Time of Change February 23, 2006. Talk Outline. Major influences in 2005 The year in DTC

By bluma
(157 views)

Trustees and wind-ups

Trustees and wind-ups

Trustees and wind-ups. Practical Considerations Alan Broxson Irish Pensions Trust Ltd. Immediate Concerns. What is contained in the Deed / Rules Quality of Admin Records Benefit disputes Claims from non-members. Other considerations. Switch everything to cash?

By declan
(99 views)

Direct-to-Consumer Advertising of Prescription Drugs: Current Issues

Direct-to-Consumer Advertising of Prescription Drugs: Current Issues

Direct-to-Consumer Advertising of Prescription Drugs: Current Issues. Kathryn J. Aikin, Ph.D. Division of Drug Marketing, Advertising and Communications, FDA Marketing Pharmaceuticals in a Time of Change February 23, 2006. Talk Outline. Major influences in 2005 The year in DTC

By aitana
(166 views)

Water UK Asset Management Conference 2003

Water UK Asset Management Conference 2003

Water UK Asset Management Conference 2003. Capital Maintenance Expenditure During AMP4 - Balancing CAPEX and OPEX Frank Grimshaw Economic Regulation Manager Severn Trent Water. Asset Maintenance - Why It Is Key. Value, Reliability. Reliable Services Reasonable Prices.

By janeeva
(123 views)

Chapter 5 Options for Organizing Small and Large 				Businesses

Chapter 5 Options for Organizing Small and Large Businesses

Chapter 5 Options for Organizing Small and Large Businesses. Learning Goals. Explain franchising’s benefits for francisors and franchisees. Summarize the forms of business ownership and the advantages and disadvantages of each form. Identify the levels of corporate management.

By benita
(166 views)

SDSS Cluster Abundances

SDSS Cluster Abundances

SDSS Cluster Abundances. Cluster Collaborators Steve Kent Rita Kim Tim Mcay Erin Sheldon Bob Nichol Chris Miller Tomo Goto Neta Bahcall Daniel Eisenstein Marc Postman Cosmology Collaborators: Martin Makler Steve Kent Scott Dodelson Josh Friemann Tim Mckay Erin Sheldon.

By konane
(84 views)

HIV/AIDS, INFANT FEEDING, AND HUMAN RIGHTS

HIV/AIDS, INFANT FEEDING, AND HUMAN RIGHTS

HIV/AIDS, INFANT FEEDING, AND HUMAN RIGHTS. George Kent University of Hawai’i. OUTLINE. 1. Questionable Coercion 2. Uncertainty Regarding Transmission through Breastfeeding 3. Health Outcomes and Implications for Feeding Choices 4. Global Policy Recommendations

By osborn
(175 views)

Risk Management 101

Risk Management 101

Risk Management 101. Tom Dixon (Bright Consulting). ANU Risk Management Matrix. Likelihood. Consequence. Ratings. Hypothetical Project. A camping trip…. Camping Trip Details. Four people attending (Chris, James, Sarah and Meg)

By ramya
(158 views)

The Choice Between Audit and Consulting Services in the Post-SOX Environment

The Choice Between Audit and Consulting Services in the Post-SOX Environment

The Choice Between Audit and Consulting Services in the Post-SOX Environment. Ronen Gal-Or Northeastern University College of Business Administration May 19, 2012. College of Business Administration – Accounting Group. Research Questions.

By teague
(84 views)

THE EARLY HiSTORY OF BAYESIAN STATISTICs Tom Leonard

THE EARLY HiSTORY OF BAYESIAN STATISTICs Tom Leonard

REFERENCES: A personal history of Bayesian Statistics (2014) Wiley Interdisciplinary Reviews, Comput Stat, 6:80-115 with link to remaining chapters (from 1972) on my website www.thomashoskynsleonard.co.uk Refers to technical material in my book

By helene
(63 views)

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