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@adgotmare
Drapeau de India Nagpur, India
Membre depuis le 20 avril 2015
0 Recommendations

adgotmare

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I am Masters of Statistics ,Expertise in SPSS. Multivariate methods Factor Analysis, Logistic Regression, Poison Regression, Negative Binomial Regression, Panel Data Analysis: Fixed Effect & Random Effect Models, Repeated Measure ANOVA using S/W SPSS, STATA, Excel statistics, expertise in SEM modelling using AMOS 1
$20 $ US / h
25 commentaires
4.5
  • 97%Travaux complétés
  • 100%Dans le budget
  • 78%À temps
  • 19%Taux de réembauche

Portfolio

Commentaires récents

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    “Good freelancer, will hire again.”

Expérience

Statistician

Jan 1996 - Jul 2004 (8 years)

Worked as a Statistician

Éducation

MSc( Statistics), NET(Population Studies)

1992 - 1994 (2 years)

Qualifications

Certified SEO, Social Media Marketer (2016)

IIDM

SEO: On page and Off page, expertise in quality backlinks (do follow) with PA/Da 60+, Use only White Hat Techniques, Follow Google Penguine, Panda Algorithm.

Publications

International Publication on Fuzzy Logic, Time Series and Composite Index

1. Solution of a Fuzzy Assignment problem by branch-and bound technique with Application of Linguistic Variable, International Journal of Computer Technology. 2. Forecasting model based on fuzzy time series with first order differencing, International Journal of Mathematical Archieve. 3. On Standardization of Narain et al method to compute composite Index, International Journal of Current Advanced Research .

Logistic Regression

5. Application of Logistic Regression Model in the study of Low Wight Newborn Babies, Conference Presentation, Dept of Statistics, Nagpur

Multivariate Regression

Dynamics of maternal parameters after seven days of delivery, Conference Presentation,Department of Bio-Statistics, National Institute of Mental Health and Neuro Sciences, Bangaluru.

Bayesian Analysis

Role of maternal parameters in determining birthweight,Conference Presentation, AIIMS, New Delhi

Principal Component Analysis

Composite Index of Agriculture productivity using application of Principal Component Analysis, International Journal of Current Advanced Research.

Certifications

  • Numeracy 1
    85%
  • US English Level 1
    83%
  • Statistics 1
    75%

Vérifications

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