VEE Time Series Student Project

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VEE Exam Course: Regression Analysis John Fox text
      Registration
      Course scheduling
      Introduction
      Materials
      Homework assignments
      Questions
      Final exam
      Fox Module 1 Statistical models
      Fox Module 2 Basics of regression analysis
      Fox Module 3 Univariate displays
      Fox Module 4 Bivariate displays
      Fox Module 5 Multivariate displays
      Fox Module 6 Transforming data
      Fox Module 7 Advanced transformations
      Fox Module 8 Linear least squares regression
      Fox Module 9 Multiple regression
      Fox Module 10 Advanced multiple regression
      Fox Module 11 Statistical inference for simple linear regression
      Fox Module 12 Statistical inference for multiple regression
      Fox Module 13 Dummy variable regression
      Fox Module 14 Modeling interactions
      Fox module 15 advanced interactions
      Fox Module 16 Analysis of variance
      Fox Module 17 Unusual and influential data
      Fox Module 18 Outliers and Influence advanced
      Fox Module 19 Heteroscedasticity
      Fox Module 20 Collinearity
      Fox Module 21 Generalized linear models concepts
      Fox Module 22 Generalized linear models discrete and continuous data
      Fox Module 23 Generalized linear models, probabilities
      Fox Module 24 Student project requirements and templates
VEE Regression Analysis Student Project
      Student Projects: Read First (Basic Information)
      Other Ideas: Parameter Stability and Heteroscedasticity
      Project Template: Sports Won-Loss Statistics
      Regression Analysis Student Project Samples
      Loss Reserving
      RA student project questions
VEE Exam Course: Time Series Cryer Chan text
      Registration
      Materials
      Introduction
      Homework assignments
      Course scheduling
      Final exam
      Questions
      TS Module 1 Time series overview
      TS Module 2 Time series concepts
      TS Module 3 Trends
      TS Module 4 Regression methods
      TS Module 5 Stationary moving average processes
      TS Module 6 Stationary autoregressive processes
      TS Module 7 Stationary mixed processes
      TS Module 8 Non-stationary time series basics
      TS Module 9 Non-stationary ARIMA time series
      TS Module 10 Autocorrelation functions
      TS Module 11 Simulated and actual time series
      TS Module 12 Parameter estimation method of moments
      TS Module 13 Parameter estimation least squares
      TS Module 14 Model diagnostics
      TS Module 15 Forecasting basics
      TS Module 16 ARIMA Forecasting
      TS Module 17 Forecasting bounds
      TS Module 18 Forecast updates and weights
      TS Module 19 Seasonal models basics
      TS Module 20 Seasonal models advanced
      TS Module 21 Building an ARIMA process
      TS Module 22 Student projects interest rates
      TS Module 23 Student projects sport statistics
      TS Module 24 Student projects weather and demographics
VEE Exam Course: Time Series (old text)
      Registration
      Benefits of online course
      Course scheduling
      Introduction
      Materials
      Homework assignments
      Final exam
      Questions
      Module 1: Modeling
      Module 2: Statistical processes
      Module 3: Simple extrapolation models
      Module 4: Smoothing and seasonal adjustment
      Module 5: Stochastic time series models
      Module 6: Characterizing time series: the autocorrelation function
      Module 7: Testing for random walks
      Module 8: Co-integrated time series
      Module 9: Moving average models
      Module 10: Autoregressive models
      Module 11: Mixed autoregressive moving average models
      Module 12: Homogeneous nonstationary processes: ARIMA models
      Module 13: Specifications of ARIMA models
      Module 14: Stationarity, invertibility, and homogeneity
      Module 15: Estimating time series models
      Module 16: Diagnostic checking
      Module 17: Forecasting with time series models
      Module 18: Forecast errors and confidence intervals
      Module 19: Properties of ARIMA forecasts
      Module 20: Model evaluation, historical simulation, and ex post...
      Module 21: Models of economic variables: inventory investment
      Module 22: Forecasting seasonal data
      Module 23: Transfer function models
      Module 24: Combined regression - time series models
      Time Series Student Project
VEE Time Series Student Project
      Time Series Student Project Samples
      Student Project Samples
      Indices for TS Student Projects
      Interest Rates
      Student Project General: Introduction, Write-up, Grading (Read First)
      Weather: Daily Temperature Data
      Time Series Techniques
      Time Series Project Templates
      ARIMA Modeling
      Web Sites and Data Questions
VEE Exam Course: Microeconomics
      Registration
      Updates
      Benefits of online course
      Course scheduling
      Introduction
      Materials
      Homework assignments
      Final exam
      Questions
      Module 1: Consumer's Demand, Producer's Supply, and Equilibrium
      Module 2: Prices, costs, and the gains from trade
      Module 3: The behavior of consumers
      Module 4: Consumers in the marketplace
      Module 5: The behavior of firms
      Module 6: Production and costs
      Module 7: Competition: short run
      Module 8: Competition: long run
      Module 9: Welfare economics and the gains from trade
      Module 10: Knowledge and information
      Module 11: Monopoly
      Module 12: Price discrimination
      Module 13: Market power
      Module 14: Collusion, cartels, and regulation
      Module 15: Oligopoly, monopolistic competition, and product...
      Module 16: The theory of games
      Module 17: Externalities: Pigou and Coase
      Module 18: Externalities: transaction costs, law and economics
      Module 19: Common property and public goods
      Module 20: The demand for factors of production
      Module 21: The market for labor
      Module 22: Wages and discrimination
      Module 23: Allocating goods over time
      Module 24: Risk and uncertainty
VEE Exam Course: Macroeconomics (2009 textbook)
      Textbook
      Syllabus
      Homework assignments
      Course questions
      Final exam
      Macro Module 1: National Income Accounting
      Macro Module 2: Economic Growth
      Macro Module 3: Growth Models
      Macro Module 4: Working with the Solow Growth Model
      Macro Module 5: Conditional Convergence and Long-Run Economic Growth
      Macro Module 6: Markets, Prices, Supply, and Demand
      Macro Module 7: Market Clearing
      Macro Module 8: Consumption, Savings, and Investment
      Macro Module 9: An Equilibrium Business Cycle Model
      Macro Module 10: Business Cycle Effects
      Macro Module 11: Capital Utilization and Unemployment
      Macro Module 12: Demand for Money
      Macro Module 13: Price Levels and Seasonal Variations
      Macro Module 14: Inflation and Interest Rates
      Macro Module 15: Inflation, Interest Rates, and Money Growth
      Macro Module 16: Government Expenditures
      Macro Module 17: Temporary Changes in Government Expenditures and War...
      Macro Module 18: Taxes
      Macro Module 19: Public Debt
      Macro Module 20: Debt and Social Security
      Macro Module 21: Price mis-perceptions model, theory
      Macro Module 22: Price mis-perceptions model, empirical evidence
      Macro Module 23: Sticky prices (new Keynesian model)
      Macro Module 24: New Keynesian model and sticky wages
VEE Exam Course: Macroeconomics (2007 textbook)
      Final Exam
      Textbook
      Syllabus
      Homework Assignments
      Macro Module 1: National Income Accounting
      Macro Module 2: Economic Growth
      Macro Module 3: Growth Models
      Macro Module 4: Working with the Solow Growth Model
      Macro Module 5: Conditional Convergence and Long-run Economic Growth
      Macro Module 6: Markets, Prices, Supply, and Demand
      Macro Module 7: Market Clearing
      Macro Module 8: Consumption, Saving, and Investment
      Macro Module 9: An Equilibrium Business Cycle Model
      Macro Module 10: Business Cycle Effects
      Macro Module 11: Capital Utilization and Unemployment
      Macro Module 12: Demand for Money
      Macro Module 13: Price Levels and Seasonal Variations
      Macro Module 14: Inflation and Interest Rates
      Macro Module 15: Inflation, Interest Rates, and Money Growth
      Macro Module 16: Government Expenditure
      Macro Module 17: Temporary Changes and War Spending
      Macro Module 18: Taxes
      Macro Module 19: Public Debt
      Macro Module 20: Public Debt and Social Security
      Macro Module 21: World markets in Goods and Credit
      Macro Module 22: Terms of Trade
      Macro Module 23: Purchasing Power Parity and Interest Rate Parity
      Macro Module 24: Fixed and Flexible Exchange Rates
VEE Exam Course: Corporate Finance
      Updates
      Registration
      Benefits of online course
      Course scheduling
      Introduction
      Materials
      Homework assignments
      Final exam
      Questions
      Module 1: Present value and the opportunity cost of capital
      Module 2: Calculating present values
      Module 3: Value of common stocks
      Module 4: Net present value vs other valuation models
      Module 5: Investment decisions and net present value
      Module 6: Risk, return, and the opportunity cost of capital
      Module 7: Risk and return
      Module 8: Capital budgeting and risk
      Module 9: Analyzing corporate projects
      Module 10: Positive net present value
      Module 11: Maximizing net present value
      Module 12: Corporate financing and market efficiency
      Module 13: Corporate financing
      Module 14: The capital markets
      Module 15: Common stock dividends
      Module 16: Debt policy
      Module 17: Optimal corporate borrowing
      Module 18: Financing and valuation: weighted average cost of capital
      Module 19: Financing and valuation: adjusted present value
      Module 20: Introduction to options
      Module 21: Option valuation
      Module 22: Real options
      Module 23: Advanced option valuation
      Module 24: Financial analysis and planning
Mahler's Guide to Regression
      Transitional CAS Exam Applied Statistics
      All Guides
      Questions for Howard Mahler

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