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Interpolate monthly values to daily values

$10-30 USD

Closed
Posted over 6 years ago

$10-30 USD

Paid on delivery
I have some monthly yield curve data for which I need to interpolate daily values. We can use either a cubic spline method or linear interpolation.
Project ID: 15231025

About the project

13 proposals
Remote project
Active 6 yrs ago

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13 freelancers are bidding on average $45 USD for this job
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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 done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, WEKA, TABLEAU and excel tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash
$100 USD in 1 day
4.7 (133 reviews)
7.0
7.0
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There exist good packages in R programming for either a cubic spline method or linear interpolation. I did similar works/ so I can easily manage your project. Relevant Skills and Experience R programming language, Mathematics. Statistics... Proposed Milestones $25 USD - the salary depends of the project details.
$25 USD in 1 day
5.0 (62 reviews)
5.9
5.9
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Greetings sir, i can help you and your 100% satisfaction is assured if you allow me to serve. I can do this task as per your requirement Relevant Skills and Experience I have more than 5 years of experience with excellent knowledge in Data Analytics, R Programming Language, SPSS Statistics, Statistics. please give me a chance to work on your project Proposed Milestones $100 USD - Once the project is complete
$100 USD in 1 day
4.8 (35 reviews)
6.0
6.0
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Hello! As I understand, you've data at 12 samples per year, and you wish to interpolate 30 samples per two samples, considering I put that on a number line. Is that all, or you've additional information? What is the dimension of each sample? Regarding methods: From what it seems linear interpolation would give very coarse results on such a low resolution data. We could build a cubic spline (which again confirms that you've 1 D data, so above dimensionality hope doesn't hold) and see how it does. However variations between any 2 samples for any 2 months, would be very difficult. However, if you've data collected from various sources that is 1000 such 1D monthly data collected over 5 years, let's say, we are in good shape. About me: I use RStudio on Linux Ubuntu. I also have MATLAB/ Octave. We could do Python too. I'm research student and takes up work along my domain from time to time. Kindly let me know if you're interested, and can message me whenever you are free. If I'm not online, shall reply you ASAP. Thank you! Have a great day!!
$100 USD in 3 days
4.7 (2 reviews)
2.8
2.8
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I think your project could be done in a couple of hours. We only need to fit a model, as you said linear or cubic, and after that we will be able to interpolate any point using the estimated parameters. Hope to work with you.
$20 USD in 1 day
5.0 (4 reviews)
1.7
1.7
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This could very well be my first task. I would like to do well of course. I've done modelling of forecast errors at all time scales, from seconds to years. Maybe I can help.
$25 USD in 1 day
0.0 (0 reviews)
0.0
0.0
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Hello, I have experience and specific training in multivariate statistical analysis. My masters degree has been completed in this area, using the R, so I can certainly perform this service for you. Relevant Skills and Experience Master's degree with emphasis on categorical data modeling under a linear multivariate analysis framework. Proposed Milestones $35 USD - project completion I'll need more details about the project.
$35 USD in 3 days
0.0 (0 reviews)
0.0
0.0
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I have done this thing for my company many a times and got the hand on experience for the same
$17 USD in 2 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of UNITED STATES
New York, United States
5.0
1
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Member since Sep 22, 2017

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