Time Series Analysis

Lecture 18 : TIME SERIES PART 1
Caption: Time series is a branch of statistics that analyzes data collected over time to identify patterns and relationships, make predictions, and understand future trends. Examples include stock prices, weather patterns, and population growth rates. Methods include time series modeling, regression analysis, and spectral analysis.
Keywords: Time series, data analysis, patterns, trends, relationships, forecasting, regression analysis, spectral analysis, modeling, stock prices, weather patterns, population growth rates.
Simply understand Time Series Analysis in just 2 lectures
1. INTRODUCTION • Business Mathematics a...
2. MEASURE OF CENTRAL TENDENCY • BUSINESS STATISTICS:ME...
3. MEASURE OF CENTRAL TENDENCY (NUMERICALS) • Statistics Numerical M...
4. WEIGHTED MEAN • Statistics:: Weighted ...
5. MEDIAN QUARTILE | PARTITION VALUES • STATISTICS MEDIAN QUAR...
6. PROBLEM SUMS NUMERICALS • STATISTICS PROBLEM SUM...
7. OGIVE CURVE • OGIVE CURVE:: Statistics
8. MODE GRAPHICALLY | MEAN MEDIAN MODE RELATIONSHIP • STATISTICS::MODE GRAPH...
9. MODE • STATISTICS :: MODE
10. MEASURE OF DISPERSION RANGE QUARTILE DEVIATION • Measure Of Dispersion ...
11. MEAN DEVIATION | STANDARD DEVIATION • Statistics Mean Deviat...
12. STANDARD DEVIATION CO-VARIANCE COMBINED STANDARD DEVIATION • Standard Deviation CoV...
13. CORRELATION- CONCEPT AND UNDERSTANDING PART 1 • Correlation:: Concept ...
14. CORRELATION- NUMERICALS AND FORMULAS • Correlation Numericals...
15. RANK CORRELATION • Rank Correlation
16. INDEX NUMBERS PART 1 • Index Numbers Part 1
17. INDEX NUMBERS PART 2 • Index Numbers Part 2
18. TIME SERIES PART 1 • Time Series Analysis
19. TIME SERIES PART 2 • Least Square Method
20. GEOMETRIC MEAN • Geometric Mean
21. HARMONIC MEAN • Harmonic Mean
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