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Statistics Jobs

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Fixed-Price - Est. Budget: $ 100 Posted
Require some basic statistics and research around Aboriginal poverty in Canada from available sources (statscan, other research studies). Looking for statistics pertaining to # of reserves without basic sanitation, inadequate housing, no internet, average income, unemployment, etc. trended over the last 20 years or so. Basic statistics compiled into an excel file with graphs and sources, no additional conclusions required. My expectation is for this to be completed in roughly 4 - 5 hours.
Hourly - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
TopFX is an EU Investment Firm, specialising in Asset Management and Prime Brokerage Services. Due to expansion of our operations, we are seeking to employ a dynamic professional to assume the role of an RTB Product Manager Responsibilities: Plan and develop the RTB system Delegate tasks within the team, responsible for deadlines Optimize the company’s ROI (Return On Investment) Calculate optimal cost per click Optimize the system’s algorithms to increase service quality Aggregate and export Big Data Create a team of developers Requirements: University degree in a technical field Strong analytical skills Statistical analysis Machine learning Ability to diagnose and resolve problems Employment Conditions: Full Time Location: Limassol - Cyprus
Hourly - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Looking for an experienced consultant for a project to help improve forecasting using historical sales data for 350 service parts with intermittent demand patterns. Require prior experience in operations forecasting for aftermarket service parts businesses, with using various time-series analysis techniques (incl. Exponential Smoothing, Crostons, Holt-Winters...) All the data is available in MS Excel and modeling can be done using Excel. No proprietary tools needed.
Hourly - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I am looking for a freelancer who can complete data analysis on a minimum of 40 participants. I am looking for statistical significance, a Spearmans Rho, and a Cronbach Alpha completion.
Fixed-Price - Est. Budget: $ 100 Posted
Hi, I am urgent looking for someone who can help me with data analysis as per the brief attached here, you must know how to user R Software or any equivalent to that, link to R Software is here, https://www.r-project.org/ please look at the attached Doc Brief, Data collected sheet and so what out put we have from our analysis, the R file which you can import into R Software What I need which need to be done to complete this is as below interpretation of the data as per the analysis Oil Price vs Oil Production Oil shock vs Inflation and Oil shock vs Repo Rate Only apply if you are available to work on this straight away, and complete it by Monday evening.
Fixed-Price - Est. Budget: $ 100 Posted
Write a report with Statistical Analysis 1-the statistic to be used is multiple regression and ordinary least square to test the hypothesis 2-you shoud describe analytic procedure carried put with row data 3-report the result of any statistic tests and other analytic procedures carried out with data 4-give accurate and full presentation To be eligible, -work MUST be original. We use Copyscape and Writecheck to detect grammar and similarity issues -work MUST meet all requirements -MUST be available to respond to queries. -can start immediately Please state your academic qualifications. Thanks.
Hourly - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
I have created a non-linear constrained optimisation algorithm in excel to solve a finance problem. However, excel and the various plug-ins I have used are extremely inefficient. I now want help to write the algorithm in a more efficient language/program. The idea would be that I can understand and use the finished product. A brief description of the algorithm: There is a simple objective function/equation that needs to be maximised. There are 100 input variables which are weightings of stocks that make up a portfolio. The objective function is quadratic with respect to these inputs. There are a number of constraints placed on the model that must be satisfied for the maximised objective function (again, some are non-linear). There is also a very large dataset that feeds into the objective functions and constraints - these are mostly exogenous however there is a 100x100 matrix multiplication that can make the computation slow. Effective engagement would start with me explaining...