Two Factor Analysis of Variance and Dummy Variable Multiple Regression Models

1
Okeh UM
Okeh UM
2
Oyeka ICA
Oyeka ICA
1 Nnamdi Azikiwe University

Send Message

To: Author

GJSFR Volume 14 Issue F6

Article Fingerprint

ReserarchID

4Q7Q7

Two Factor Analysis of Variance and Dummy Variable Multiple Regression Models Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Abstract not found

7 Cites in Articles

References

  1. Richard Boyle (1974). Path Analysis and Ordinal Data.
  2. N Draper,H Smith (1966). Applied Regression Analysis.
  3. J Neter,W Wasserman (1974). Applied Linear Statistical Models.
  4. Richard Inc Unknown Title.
  5. I Oyeka,Afuecheta Ebuh,G Nnanatu,C (2012). Partitioning the total chi-square for matched Dichotomous Data.
  6. I Oyeka,C Uzuke,H Obiora-Ilouno,C Mmaduakor (2013). Ties Adjusted Two way Analysis of Variance tests with unequal observations per cell.
  7. Sewall Wright (1934). The Methods of Path Coefficients.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Okeh UM. 2014. \u201cTwo Factor Analysis of Variance and Dummy Variable Multiple Regression Models\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 14 (GJSFR Volume 14 Issue F6): .

Download Citation

Issue Cover
GJSFR Volume 14 Issue F6
Pg. 41- 55
Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Classification
Not Found
Version of record

v1.2

Issue date

October 29, 2014

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 4245
Total Downloads: 2233
2026 Trends
Research Identity (RIN)
Related Research

Published Article

Abstract not found

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Two Factor Analysis of Variance and Dummy Variable Multiple Regression Models

Oyeka ICA
Oyeka ICA
Okeh UM
Okeh UM Nnamdi Azikiwe University

Research Journals