Learn · Applied Multivariate Statistical Modeling

Lecture 6 of 69week-01

Lecture 06 : Univariate Descriptive Statistics (Contd)

Prof. Jhareswar Maiti · IIT Kharagpur

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Applied Multivariate Statistical Modeling, IIT Kharagpur (at NPTEL)
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All the lectures

  1. Lecture 01 : Introduction to Multivariate Statistical Modeling Video
  2. Lecture 02 : Introduction to Multivariate Statistical Modeling: Data types, models, and modeling Video
  3. Lecture 03 : Statistical approaches to model building Video
  4. Lecture 04 : Statistical approaches to model building (Contd) Video
  5. Lecture 05 : Univariate Descriptive Statistics Video
  6. Lecture 06 : Univariate Descriptive Statistics (Contd) Video
  7. Lecture 07 : Normal Distribution and Chi-squared Distribution Video
  8. Lecture 08 : t-distribution, F-distribution, and Central Limit Theorem Video
  9. Lecture 09 : Univariate inferential statistics: Estimation Video
  10. Lecture 10 : Univariate Inferential Statistics: Estimation(Contd) Video
  11. Lecture 11 : Univariate Inferential Statistics: Hypothesis Testing Video
  12. Lecture 12 : Hypothesis Testing(contd): Decision Making Scenarios Video
  13. Lecture 13 : Multivariate Descriptive Statistics: Mean Vector Video
  14. Lecture 14 : Multivariate Descriptive Statistics: Covariance Matrix Video
  15. Lecture 15 : Multivariate Descriptive Statistics: Correlation Matrix Video
  16. Lecture 16 : Multivariate Descriptive Statistics: Relationship between correlation Video
  17. Lecture 17 : Multivariate Normal Distribution Video
  18. Lecture 18 : Multivariate Normal Distribution(Contd) Video
  19. Lecture 19 : Multivariate Normal Distribution (Contd): Geometrical Interpretation Video
  20. Lecture 20 : Multivariate Normal Distribution (Contd): Examining data for multivariate normal Video
  21. Lecture 21 : Multivariate Inferential Statistics: Basics and Hotelling T - square statistic Video
  22. Lecture 22 : Multivariate Inferential Statistics: Confidence Region Video
  23. Lecture 23:Multivariate Inferential Statistics:Simultaneous confidence interval & Hypothesis testing Video
  24. Lecture 24:Multivariate Inferential Statistics: Hypothesis testing for equality of two population Video
  25. Lecture 25 : Analysis of Variance (ANOVA) Video
  26. Lecture 26 : Analysis of Variance (ANOVA): Decomposition of Total sum of squares Video
  27. Lecture 27 : Analysis of Variance (ANOVA): Estimation of Parameters and Model Adequacy tests Video
  28. Lecture 28 : Two-way and Three-way Analysis of Variance (ANOVA) Video
  29. Lecture 29 : Tutorial ANOVA Video
  30. Lecture 30 : Tutorial ANOVA (Contd) Video
  31. Lecture 31: Multivariate Analysis of Variance (MANOVA): Conceptual Model Video
  32. Lecture 32: Multivariate Analysis of Variance (MANOVA): (SSCP) Video
  33. Lecture 33: Multivariate Analysis of Variance (MANOVA): (SSCP)(contd.) Video
  34. Lecture 34: Multivariate Analysis of Variance (MANOVA): Estimation and Hypothesis testing Video
  35. Lecture 35: MANOVA Case Study Video
  36. Lecture 36 : Multiple Linear Regression: Introduction Video
  37. Lecture 37 : Multiple Linear Regression: Assumptions and Estimation of model parameters Video
  38. Lecture 38 : Multiple Linear Regression: Sampling Distribution of parameter estimates Video
  39. Lecture 39 : Multiple Linear Regression: Sampling Distribution of parameter estimates (contd) Video
  40. Lecture 40 : Multiple Linear Regression: Model Adequacy Tests Video
  41. Lecture 41 : Multiple Linear Regression: Model Adequacy Tests(contd) Video
  42. Lecture 42 : Multiple Linear Regression: Test of Assumptions Video
  43. Lecture 43 : MLR-Model diagnostics Video
  44. Lecture 44 : MLR-case study Video
  45. Lecture 45: Multivariate Linear Regression: conceptual model and assumptions Video
  46. Lecture 46: Multivariate Linear Regression: Estimation of parameters Video
  47. Lecture 47: Multivariate Linear Regression: Estimation of parameters (contd.) Video
  48. Lecture 48: Multiple Linear Regression: Sampling Distribution of parameter estimates Video
  49. Lecture 49: Multivariate Linear Regression: Model Adequacy Tests Video
  50. Lecture 50: Multiple Linear Regression: Model Adequacy Tests(contd) Video
  51. Lecture 51: Regression modeling using SPSS Video
  52. Lecture 52 : Principal Component Analysis (PCA): Conceptual Model Video
  53. Lecture 53 : Principal Component Analysis (PCA): Extraction of Principal components (PCs) Video
  54. Lecture 54 : Principal Component Analysis (PCA): Model Adequacy and Interpretation Video
  55. Lecture 55 : Principal Component Analysis (PCA): Model Adequacy and Interpretation (contd) Video
  56. Lecture 56: Factor Analysis: Basics and Orthogonal factor models Video
  57. Lecture 57: Factor Analysis: Types of models and key questions Video
  58. Lecture 58: Factor Analysis: Parameter Estimation Video
  59. Lecture 59: Factor Analysis: Parameter Estimation(contd) Video
  60. Lecture 60: Factor Analysis: Model Adequacy tests and factor rotation Video
  61. Lecture 61: Factor Analysis: Factor scores and case study Video
  62. Lecture 62 : Introduction to Structural Equation Modeling (SEM) Video
  63. Lecture 63 : Introduction to Structural Equation Modeling (SEM)(contd) Video
  64. Lecture 64 : Structural Equation Modeling (SEM): Confirmatory factor analysis (Measurement Model ) Video
  65. Lecture 65 : Structural Equation Modeling (SEM): Confirmatory factor analysis (contd) Video
  66. Lecture 66 : Structural Equation Modeling (SEM): Structural Model (Path model) Video
  67. Lecture 67 : Structural Equation Modeling (SEM): Structural Model(contd) Video
  68. Live Session 03-03-2021 Video
  69. Live Session 14-03-2022 Video