Kapat
  • Popüler Videolar
  • Moods
  • Türler
  • English
  • Türkçe
Tubidy
  • Popüler Videolar
  • Moods
  • Türler
    Turkish  
    • English
    • Türkçe
      STATS 205 - Hierarchical Linear Models - Lecture 12 (normal equation; Poisson GLM; Quasi-likelihood)
      STATS 205 - Hierarchical Linear Models - Lecture 12 (normal equation; Poisson GLM; Quasi-likelihood)
      1:17:40 |
      Yükleniyor...
      Lütfen bekleyiniz...
      Type
      Size

       İlgili Videolar


      STATS 205 - Hierarchical Linear Models - Lecture 12 (normal equation; Poisson GLM; Quasi-likelihood)

      STATS 205 - Hierarchical Linear Models - Lecture 12 (normal equation; Poisson GLM; Quasi-likelihood)

      1:17:40 |
      STATS 205 - Hierarchical Linear Models - Lec 13 (extra-Poisson; negative binomial reg; excess zeros)

      STATS 205 - Hierarchical Linear Models - Lec 13 (extra-Poisson; negative binomial reg; excess zeros)

      1:14:50 |
      STATS 205 - Hierarchical Linear Models - Lecture 10 (IRLS; goodness-of-fit tests for GLM)

      STATS 205 - Hierarchical Linear Models - Lecture 10 (IRLS; goodness-of-fit tests for GLM)

      43:22 |
      GLM Poisson

      GLM Poisson

      41:25 |
      #IDESKRIPSI Episode 1 : Hierarchical Likelihood GLM

      #IDESKRIPSI Episode 1 : Hierarchical Likelihood GLM

      20:24 |
      Quasi likelihood estimation

      Quasi likelihood estimation

      24:02 |
      Stat 212: Lecture 4 Part B - D. L. Gillen

      Stat 212: Lecture 4 Part B - D. L. Gillen

      13:48 |
      6840-10-19-3: 3.5 QMLE - Quasi-normal, Quasi-binomial

      6840-10-19-3: 3.5 QMLE - Quasi-normal, Quasi-binomial

      10:46 |
      GLM Exponential Family, Example with Poisson distribution finding functions a, b, and c

      GLM Exponential Family, Example with Poisson distribution finding functions a, b, and c

      5:35 |
      Bayes Rules! Non-Normal Hierarchical Regression & Classification (bayes_rules04 18)

      Bayes Rules! Non-Normal Hierarchical Regression & Classification (bayes_rules04 18)

      35:08 |
      M-26. Quasi likelihood estimation

      M-26. Quasi likelihood estimation

      24:02 |
      Components of a GLM

      Components of a GLM

      19:34 |
      regression 03 01

      regression 03 01

      15:59 |
      Stat 478 - Lecture 9 (Feb. 8, 2022)

      Stat 478 - Lecture 9 (Feb. 8, 2022)

      1:15:06 |
      GLMs   Johns Hopkins University Coursera

      GLMs Johns Hopkins University Coursera

      21:20 |
      6840-10-19-2: 3.5 QMLE - General theory

      6840-10-19-2: 3.5 QMLE - General theory

      5:17 |
      Maximum Likelihood Estimation

      Maximum Likelihood Estimation

      10:05 |
      M-40. Quasi-Likelihood Method of Estimation

      M-40. Quasi-Likelihood Method of Estimation

      30:50 |
      STT5100 Hiver 2020, GLM slides 14

      STT5100 Hiver 2020, GLM slides 14

      36:05 |
      M-22. Count data analysis II

      M-22. Count data analysis II

      29:40 |
      • Hakkımızda
      • SSS
      • Gizlilik Politikası
      • Hizmet Şartları
      • İletişim
      • Tubidy
      Copyright. All rights reserved © 2025
      Rosebank, Johannesburg, South Africa