How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San.

Slides:



Advertisements
Similar presentations
Polycyclic Aromatic Hydrocarbons in the San Francisco Estuary Distributions, Trends, and Sources in Sediments ( ) Daniel R. Oros and John R.M.
Advertisements

From Ignition to Spread Wildland Fire Forecasting and Color Maps Managing fire on populated forest landscapes October , 2013 Banff International.
Clinical Research Training Program 2021
1 Non-Linear and Smooth Regression Non-linear parametric models: There is a known functional form y=  x,  derived from known theory or from previous.
Chapter 6.1 Common Core – A.REI.6 Solve systems of linear equations exactly and approximately, focusing on pairs of liner equations in two variables. Objectives.
Logistic Regression.
Chapter 10 Curve Fitting and Regression Analysis
x – independent variable (input)
Multinomial Logistic Regression
Curve-Fitting Regression
Empirical Landslide Modeling Finn Krogstad UW Forest Engineering May 30, 1990.
Review of the fundamental concepts of probability Exploratory data analysis: quantitative and graphical data description Estimation techniques, hypothesis.
Regression Analysis In regression analysis we analyze the relationship between two or more variables. The relationship between two or more variables could.
Testing Bridge Lengths The Gadsden Group. Goals and Objectives Collect and express data in the form of tables and graphs Look for patterns to make predictions.
The conclusion must be the ‘answer’ to the aim of the experiment.
Scientific Method Notes
Advantages of Multivariate Analysis Close resemblance to how the researcher thinks. Close resemblance to how the researcher thinks. Easy visualisation.
Physics 114: Lecture 15 Probability Tests & Linear Fitting Dale E. Gary NJIT Physics Department.
Graphs of Functions Graphs of Functions In addition to level 3.0 and beyond what was taught in class, the student may: Make connection with other.
Chapter 16 The Elaboration Model Key Terms. Descriptive statistics Statistical computations describing either the characteristics of a sample or the relationship.
Hedging with Forward & Futures Risk Management Prof. Ali Nejadmalayeri, Dr N a.k.a. “Dr N”
Chapter 2 The Normal Distributions “Statistically thinking will one day be as necessary for efficient citizenship as the ability to read and write.” H.
Research Project Statistical Analysis. What type of statistical analysis will I use to analyze my data? SEM (does not tell you level of significance)
Curve-Fitting Regression
Linear Regression Analysis 5E Montgomery, Peck & Vining
Three Statistical Issues (1) Observational Study (2) Multiple Comparisons (3) Censoring Definitions.
SW318 Social Work Statistics Slide 1 Logistic Regression and Odds Ratios Example of Odds Ratio Using Relationship between Death Penalty and Race.
Statistical Analysis Topic – Math skills requirements.
Lesson – Teacher Notes Standard:
What is Calculus ? Three Basic Concepts Lesson 2.1.
A P STATISTICS LESSON 3 – 3 (DAY 3) A P STATISTICS LESSON 3 – 3 (DAY 3) RISIDUALS.
Residuals Recall that the vertical distances from the points to the least-squares regression line are as small as possible.  Because those vertical distances.
Multiplication Facts. 9 6 x 4 = 24 5 x 9 = 45 9 x 6 = 54.
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1 Part 4 Chapter 15 General Least Squares and Non- Linear.
Estimation of Random Variables Two types of estimation: 1) Estimating parameters/statistics of a random variable (or several) from data. 2)Estimating the.
3.9 Differentials and the Linearization of a Graph Primary Learning Target: Understand the concept of the tangent line approximation to a curve and how.
Multiplication Facts. 2x2 4 8x2 16 4x2 8 3x3.
Multiplication Facts Review: x 1 = 1 10 x 8 =
Notes Over 3.1 Solving a System Graphically Graph the linear system and estimate the solution. Then check the solution algebraically.
Unit 3 – Association: Contingency, Correlation, and Regression Lesson 3-2 Quantitative Associations.
Within-stand Interactions of Forest Structure and Microclimate Variability in an Old-Growth, Mixed-Conifer Forest Siyan Ma Co-authors: Malcolm North, Jiquan.
Multiplication Facts All Facts. 0 x 1 2 x 1 10 x 5.
Linear Regression.
Physics 114: Lecture 13 Probability Tests & Linear Fitting
Deep Feedforward Networks
Multiplication Facts.
Ch3: Model Building through Regression
Appendix: Using Graphs and Formulas
Multiplication Facts.
UNIT SELF-TEST QUESTIONS
CHOOSING A STATISTICAL TEST
12 Inferential Analysis.
CORRELATION & LINEAR REGRESSION
Standard Normal Calculations
UNIT SELF-TEST QUESTIONS
Some Examples of Stochastic Differential
What is Regression Analysis?
12 Inferential Analysis.
Multiplication Facts.
BASIC GEOMETRY Section 5: Inequalities in one Triangle
Example on the Concept of Regression . observation
Solving Simultaneous equations by the Graphical Method
EQUATION 4.1 Relationship Between One Dependent and One Independent Variable: Simple Regression Analysis.
B’ (-18, 20) A’ (-21, 4) T’ (13, -11) Translate (x – 9, y + 8)
Signal detection theory
Lesson – Teacher Notes Standard:
UNIT SELF-TEST QUESTIONS
Cases. Simple Regression Linear Multiple Regression.
Linear Regression Analysis 5th edition Montgomery, Peck & Vining
Generalized Additive Model
Presentation transcript:

How to tell the president the facts Haiganoush K. Preisler Pacific Southwest Research Station USDA Forest Service, Albany, CA 6 August, 2003 JSM – San Francisco

Whenever possible say it with pictures/figures. Complicated concepts may be conveyed using figures.

Generalized Additive Models Often data non Gaussian (e.g., logistic) Multiple regression with partial effects Relationships approximated by sum of non linear non parametric curves. Output is graphical

Effects of observed variables on probability of fire spread

Color map based on fire danger class Color map based on probability

Conclusion Different situations require different solutions Whenever possible say it with a ‘picture bite’