'Actual observations' presentation slideshows

Linear regression

Linear regression. Brian Healy, PhD BIO203. Previous classes. Hypothesis testing Parametric Nonparametric Correlation. What are we doing today?. Linear regression Continuous outcome with continuous, dichotomous or categorical predictor Equation: Interpretation of coefficients

957 views • 89 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. 0 Introduction 1 Methodology 2 Binary Choice 3 Panel Data 4 Bivariate Probit 5 Ordered Choice 6 Count Data 7 Multinomial Choice 8 Nested Logit 9 Heterogeneity 10 Latent Class 11 Mixed Logit

1.05k views • 70 slides

Econometric Analysis of Panel Data

Econometric Analysis of Panel Data. William Greene Department of Economics Stern School of Business. Econometric Analysis of Panel Data. 24. Multinomial Choice and Stated Choice Experiments. Revealed and Stated Preference Data. Pure RP Data

936 views • 68 slides

Section 1.3

Section 1.3. The Normal Distribution. Strategy for Exploring Data. Always plot your data make a graph ? usually a histogram or a stemplot Look for the overall pattern and for major deviations, such as outliers Remember: Shape , Center , and Spread

866 views • 63 slides

Designing, implementing, running and analyzing simple discrete-event simulations.

Designing, implementing, running and analyzing simple discrete-event simulations. We begin with the description of a very simple simulation environment - similar to the one described in Ch. 1 of Law & Kelton, or to a very simple version of the Arena environment.

791 views • 61 slides

STAT 111 Introductory Statistics

965 views • 56 slides

By the end of lecture today 7/9/13

Use this as your study guide. By the end of lecture today 7/9/13. Continuous vs Discrete Variables Levels of Measurement Nominal, Ordinal, Interval, & Ratio Questionnaire design and evaluation Descriptive vs inferential Surveys and questionnaire design

717 views • 56 slides

Some System Identification Challenges and Approaches

523 views • 44 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Stated Preference and Revealed Preference Data. Revealed and Stated Preference Data. Pure RP Data Market (ex-post, e.g., supermarket scanner data) Individual observations Pure SP Data

554 views • 42 slides

FDWLD 201

FDWLD 201. Scientific Revolution a nd The Enlightenment. Hamlet and Modern Science.

519 views • 39 slides

Modeling Errors in GPS Vertical Estimates

Modeling Errors in GPS Vertical Estimates. Signal propagation effects Signal scattering ( antenna phase center/multipath ) Atmospheric delay ( parameterization, mapping functions ) Unmodeled motions of the station Monument instability

427 views • 29 slides

A NOVEL TOPOGRAPHY BASED LIMITED AREA MODEL FOR MAURITIUS

A NOVEL TOPOGRAPHY BASED LIMITED AREA MODEL FOR MAURITIUS . Mr. R. Virasami Pr. S.D.D.V. Rughooputh Dr. B. Pathack. Research Objectives.

460 views • 26 slides

Discrete Choice Models

401 views • 23 slides

Ch 2 The Normal Distribution

Ch 2 The Normal Distribution. 2.1 Density Curves and the Normal Distribution 2.2 Standard Normal Calculations. We have a clear strategy for exploring data on a single quantitative variable Plot Data, usually Histogram or Stemplot Calculate numerical summaries Describe the CUSS New step:

358 views • 22 slides

17. Long Term Trends and Hurst Phenomena From ancient times the Nile river region has been known for

17. Long Term Trends and Hurst Phenomena From ancient times the Nile river region has been known for its peculiar long-term behavior: long periods of dryness followed by long periods of yearly floods. It seems historical records that go back

318 views • 19 slides

Spatial Data Analysis

Spatial Data Analysis. Yaji Sripada. In this lecture you learn. What is spatial data and their special characteristics? Spatial data analysis tasks and techniques Applying region growing approaches to segmentation of area data. Introduction.

474 views • 19 slides

Early Philosophers

180 views • 16 slides

6.1 Simulation

6.1 Simulation. Probability is the branch of math that describes the pattern of chance outcomes Probability is an idealization based on imagining what would happen in an infinitely long series of trials. Probability calculations are the basis for inference

259 views • 12 slides

368 views • 10 slides

The Normal Distribution

The Normal Distribution. AS Mathematics Statistics 1 Module. Introduction :. The Normal Distribution X~N( ?,? 2 ) where ? is the population mean and ? 2 is the population variance The distribution is symmetrical about the mean, ? and all the averages (mean, mode and median coincide)

184 views • 5 slides