'Point estimates' presentation slideshows

MAD-Bayes: MAP-based Asymptotic Derivations from Bayes

MAD-Bayes: MAP-based Asymptotic Derivations from Bayes. Michael I. Jordan University of California, Berkeley INRIA. June 12, 2013. Co-authors : Tamara Broderick, Brian Kulis. A Typical Conversation in Silicon Valley.

941 views • 79 slides

875 views • 71 slides

Quant 3610

Quant 3610. Weber State University. Dr. Stephen Hays Russell. Reminder on Grade Cuts. 92.01 - 100 = A 90 - 92.0 = A- 87 - 89.99 = B+ 83 - 86.99 = B 77 - 82.99 = B- 74 - 76.99 = C+ 70 - 73.99 = C 66 - 69.99 = C- 64 - 65.99 = D+ 61 - 63.99 = D 57 - 60.99 = D- Below 57.0 = E.

663 views • 52 slides

Inferential Statistics Part 1

537 views • 39 slides

Population A: 10,000

Sample Size Determination. Population A: 10,000. Population B: 5,000. Sample 15%. Sample 10%. Sample size 1000. Sample size 750. Sampling. The process of obtaining information from a subset (sample) of a larger group (population)

566 views • 38 slides

655 views • 30 slides

Welcome to BUAD 310

Welcome to BUAD 310. Instructor: Kam Hamidieh Lecture 12, Monday March 3, 2014. Agenda & Announcement. Today: Cover parts of Chapters 13 & 14 Pass back the exams and go over the exam (at the end) Next time: Start Chapter 15. Statistical Inference.

455 views • 30 slides

INTRODUCTION TO HYPOTHESIS TESTING

INTRODUCTION TO HYPOTHESIS TESTING. PURPOSE. A hypothesis test allows us to draw conclusions or make decisions regarding population data from sample data. The Logic of Hypothesis Tests. Assume a population distribution with a specified population mean.

658 views • 21 slides

Confidence Intervals for Population Means

Confidence Intervals for Population Means. BUSA 2100, Sections 8.1, 8.2. Estimation Process. Point estimates are single numbers, e.g. X-bar = $35,000. Point estimates should be close to the true population mean (or proportion), but are almost never exactly equal.

466 views • 18 slides

Lecture 4

415 views • 18 slides

Module 25: Confidence Intervals and Hypothesis Tests for Variances for One Sample

Module 25: Confidence Intervals and Hypothesis Tests for Variances for One Sample. This module discusses confidence intervals and hypothesis tests for variances for the one sample situation. Reviewed 19 July 05/ MODULE 25. The Situation.

292 views • 18 slides

Bridge to inference

262 views • 17 slides

Kinematic Porosity and Heteroscedasticity in Hard Rock Terrains

Kinematic Porosity and Heteroscedasticity in Hard Rock Terrains. Extreme variability and its role in hydrogeology. Land and Water Resources Engineering Robert Earon. Introduction. Anistropy. Heterogeneity. Possibilities. Concluding Remarks.

327 views • 17 slides

The Impact of Different Treatment Strategies on Cardiac Death and MI Rates in Patients with Type 2 Diabetes and Stable C

The Impact of Different Treatment Strategies on Cardiac Death and MI Rates in Patients with Type 2 Diabetes and Stable Coronary Disease: A Report from BARI 2D.

351 views • 15 slides

The Impact of Different Treatment Strategies on Cardiac Death and MI Rates in Patients with Type 2 Diabetes and Stable C

The Impact of Different Treatment Strategies on Cardiac Death and MI Rates in Patients with Type 2 Diabetes and Stable Coronary Disease: A Report from BARI 2D.

309 views • 15 slides

Heterogeneity and non-stationary variance in hard rock hydrogeology

Heterogeneity and non-stationary variance in hard rock hydrogeology. Extreme variability and its role in hydrogeology. Land and Water Resources Engineering Robert Earon. Introduction. Anistropy. Heterogeneity. Possibilities. Concluding Remarks.

278 views • 13 slides

The Conditional Random-Effects Variance Component in Meta-regression

The Conditional Random-Effects Variance Component in Meta-regression. Michael T. Brannick Guy Cafri University of South Florida. Background. What is the random-effects variance component (REVC)? What is the conditional random-effects variance component (CREVC)?

279 views • 11 slides

Trial profile Data were censored at time of last follow-up for all participants

Trial profile Data were censored at time of last follow-up for all participants. The DREAM Trial Investigators Lancet 2006; 368: online. Baseline clinical and biochemical characteristics of participants. The DREAM Trial Investigators Lancet 2006; 368: online. Primary and other outcomes.

182 views • 8 slides

6.4 Confidence intervals for Variance and Standard deviation

6.4 Confidence intervals for Variance and Standard deviation. Interpret the chi-square distribution and use a chi-square distribution table Use the chi-square distribution to construct a confidence interval for the variance and standard deviation.

244 views • 7 slides

Revenue Neutrality Staff Presentation July 20, 2005

Revenue Neutrality Staff Presentation July 20, 2005. Revenue Neutrality. The Treasury Department estimates the revenue implications of our plans.

191 views • 3 slides