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Statistics
Statistics for Business
1. Introduction to Business Statistics
2. Descriptive Statistics
3. Probability Theory
4. Sampling and Sampling Distributions
5. Statistical Inference: Estimation
6. Statistical Inference: Hypothesis Testing
7. Regression Analysis
8. Time Series Analysis and Forecasting
9. Statistical Quality Control
10. Decision Analysis
Time Series Analysis and Forecasting
Components of Time Series
Trend Component
Long-Term Movement
Identification Methods
Seasonal Component
Regular Patterns
Seasonal Indices
Cyclical Component
Business Cycles
Irregular Cycles
Irregular Component
Random Fluctuations
Noise
Time Series Decomposition
Additive Model
Multiplicative Model
Seasonal Adjustment
Smoothing Methods
Moving Averages
Simple Moving Average
Centered Moving Average
Choosing Period Length
Weighted Moving Averages
Exponential Smoothing
Simple Exponential Smoothing
Smoothing Constants
Double Exponential Smoothing
Triple Exponential Smoothing
Trend Analysis
Linear Trend
Least Squares Method
Trend Equations
Nonlinear Trends
Quadratic Trends
Exponential Trends
Logarithmic Trends
Seasonal Forecasting
Seasonal Indices
Seasonal Adjustment
Forecasting with Seasonality
Forecast Accuracy
Mean Absolute Deviation
Mean Squared Error
Mean Absolute Percentage Error
Root Mean Squared Error
Comparing Forecasting Methods
Advanced Time Series Methods
Autoregressive Models
Moving Average Models
ARIMA Models
Model Identification
Parameter Estimation
Model Validation
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9. Statistical Quality Control