...companies' website. This cost varies with the number of visitors. Historical data is available, giving you the weekly cost as a function of the number of visitors. Exercise: ■ Calculate the cost function in Excel; this function seems to have 2 linear parts. Use linear regression twice. ■ Make a graph to show your result. ■ Use the cost function to
...Number of false CCCs found in the image 4- Thresh number (try different numbers starting from .5 to larger numbers ) 5- Draw a graph showing at least one correlation between those variables. 2- True Found: Defined as ' true positives) divided by the actual number of CCCs in the images 3- Num False (false positives) : Number
Hi, I am looking for someone who can write a custom indicator code following the instructions in the attached file. I will be more than happy to answer questions to serious inquiries. Feel free to ask :) I will answer asap. Please indicate the trading platforms codes you have knowledge of. Good bidding!
very simple python project. doing a regression analysis and finding out the r square and mean error scale values
The work is on portfolio/security analysis... The following are the requirements: The way to do the calculations are as follows: (given by the client's prof) 1- add culm Return = ( close - open )/open. 2- average =Average( select return cul ) Average can't be by - you have to change the stock 3- Std = StdEV.s ( select
...that mention on the paper: [url removed, login to view] Historical Covariance. [url removed, login to view] Historical Covariance With Shrinkage. [url removed, login to view] Weighted Moving Average. 4. Dynamic Conditional Correlation GARCH 5. Generalized Orthogonal GARCH. to forecast the covariance-matrix and then evaluate the performance of these covariance-matrix by their ability in o...
The aim of the work is to develop a tool for correlative topography and kpfm analysis of 2D material surfaes in the form of a software package in any programming language (C, C++, Java, Matlab / Octave, Python,...) testing and also extensive description of properties of 2D materials I suggest you to collect this information in the table in which you
Require the following: - Simple Dataset Building (preferred access to Thomson Reuter Platform) - Literature Review (3/4 pages) + References - Simple Econometric analysis (regressions) - Description of Dataset, methodologies and results Time available: 2/3 weeks Further material/guidelines will be shared to interested freelancers.
2-week tutor to help with assignments and upcoming exam prep. I need help with: confidence intervals, range & sample standard ...help with: confidence intervals, range & sample standard deviation, probability curve, distribution area, critical value, a margin of error, a linear correlation coefficient, and least squares regression line to name a few.
...male=1, female=0, etc) for the above analysis. However, I do not have enough time for some of the analyses and would like to ask for your help. I would like you to do the analysis for me and fill out the tables with your results. For Table 2 and Table 3, I used Cox regression but I already completed the statistical analysis and just need you to fill out the
...possibly data scientists, to manage a large portion of our daily analytical work. Work load is variable, but could exceed 40 hours / week at times, depending on the season. If successful, the team will have consistent, ongoing business with us for the foreseeable future. Here are the likely requirements for the role(s): - Ad-Hoc and Weekly Data Analytics-
I have a data analysis task. hey guys! I have some raw data in spss or excel and i need someone to analyze them and explain them to me. I need to create the variables and then see the relationship between them, either with correlations or regression. I prefer someone with experience ins SPSS and psychology reports in. The project it is not big, so if
...building Predictive model ( Logistic Regression, OR Decision Tree, OR Random Forest) to Predict ( YES,NO) Gas pipe failure based on Historical data. 300,000 Data sample (No damage) & 1000 data sample (Yes Damage). I've the data broken into 35 features/attributes in Excel, and Python. - After I did run the data in Python, it gave me 99% accurac...