The models we discussed are models that are linear in parameters; variables Y and Xs do not necessarily have to be linear The price elasticity of demand~the log-linear models The rate of growth~semilog model Functional forms of regression models which are linear in parameters, but not necessarily linear in variables:

Multiple Regression Model: A regression model with more than one explanatory variable, multiple because multiple nfluences (i.e., variables)affect the dependent variable

Chapter 15 Contents How Options Work Investing with Options The Put-Call Parity Relationship Volatility Option Prices Two-State Option Pricing Dynamic Replication the Binomial Model The Black-Scholes model Implied Volatility

Chapter 13 Contents 13.1 The Capital Asset Pricing Model in Brief 13.2 Determining the Risk Premium on the Market Portfolio 13.3 Beta and Risk Premiums on Individual Securities 13.4 Using the CAPM in Portfolio Selection 13.5 Valuation& Regulating Rates of Return UeSTc

Content A simple closed model The static solution of simple model Basic concepts of disequilibrium theory

5.1 The Goods Market Equilibrium and IS Curve 5.2 Financial Markets and LM Curve 5.3 Goods and Financial Markets: IS- LM Model

Topics to be Discussed Basic principles of building macroeconomic model Micro basis of macroeconomics &Choices of households Choices of firms Introduction to labor market

1 Goodness of Fit Statistics We would like some measure of how well our regression model actually fits the data.* We have goodness of fit statistics to test this: i.e. how well the sample regression function (srf) fits the data. The most common goodness of fit statistic is known as R2. One

R30 Model One of the simulations conducted as part of the GFDL-University Consortium project is a 17 year simulation in which the lower boundary conditions repeat the mean seasonal cycle. Attributes of the model simulation are given below

5.0 Introduction 5.1 Device Structure and Physical Operation 5.2 Current-Voltage Characteristics 5.3 The BJT as an Amplifier and as a Switch 5.4 BJT Circuits at DC 5.5 Biasing in BJT Amplifier Circuits 5.6 Small-Signal Operation and Models 5.7 Single-Stage BJT Amplifiers 5.8 The BJT Internal Capacitances and High-Frequency Model 5.9 Frequency Response of the Common-Emitter Amplifier 5.10 The Basic BJT Digital Logic Inverter 5.11 The SPICE BJT Model and Simulation Examples