Accident Modelling

My project is on "Study on causes of Motorized two wheeler crashes on urban roads". My project is entirely based on questionnaire survey. In which respondents were asked to give in the demographic details,riding experience,behavior questions,crash information, license, training etc.

I need help in the analysis of the data that i have collected. From factor analysis to generalized linear modelling.

(I also need the interpretation of the results that will come out of the analysis)

Skills: SPSS Statistics, Statistical Analysis

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About the Employer:
( 0 reviews ) India

Project ID: #17208415

14 freelancers are bidding on average ₹10849 for this job


Hi I am a very experienced statistician and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have d More

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Hello. I'm experienced with projects like this. I can do analysis in SPSS, Stata, LG, Lisrel and some other programs. For structural modeling I like LG simulation approach (LG - latent gold), but if needed I can us More

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I am a full-time freelancer looking for a long term business alliance. I have a 5 star rated profile in [login to view URL] too.  [login to view URL]~0167b98b2888b11ab6 If you are looking for top notch work then More

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PG from Statistic department, faculty of Statistics and Mathematics , Apostle College. I am professional in building statistical models, description statistics, professional in statistical analysis using statistical p More

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Hi I have gone through your project. I have done lots of statistical analysis, and had written reports. Although I am new at this platform. I assure you your work will be good. Kind Regards.

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being an engineer i believe i can do the job in better way.

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I am at the academe working for 15 years already. Part of functions in the university is to conduct research and perform statistical analysis.

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I have extensive experience in modeling using generalized linear models and non traditional machine learning approaches. I will perform exploratory data analysis and develop a model driven by those results. I have 10 y More

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