Tips and Tricks.
Statistical Analysis refers to the science of analyzing numerical data relating to groups or experiments. It deals with the analysis and interpretation of such data such as those of survey results and experiments. Statistics analysts deal with probabilities, distribution, bell curves, etc. for analyzing statistical data. If your business involves conducting surveys, studies or other such market research, you will need statistics analysts to analyse and interpret the data. You can find freelancers who are able and willing to do statistical analysis for your business. Simply post a job today!Thuê Statisticians
Create a memo-style paper that uses simple linear (OLS) regression analysis to support recommendation to take or not take a course of action. ***2-page report***
I have a question about regression analysis in excel. I would need your help to solve that question. It will take less than 20 minutes and you can take my any desk for that. My budget is USD 12. If you can do, pls let me know. Your service is required immediately
I need to take downloaded data from several sources and be able to see histograms, linear regression with calculations of change over time, and 3rd order polynomial as a check to how good the regression line is. I also need to show properties on a map and certain attributes about the sale as a pop up such as sales price, date of sale, square feet of the building, and square feet/acres of land. I need Several RStudio "routines"
Dear All, ** Please apply for this job if you can give a demo of atleast 3 - 4 Algo System you have built in the past and can prove your experience ** I am looking some one to build a python algo based on rules and multiple repair conditions. The system also needs a backtesting engine which will be built on. Kindly send me your interest if you can work on this. Preferring only Indian Freelancers / Business due to the work required a lot of Indian Stock Market Knowledge.
Develop a plot to help communicate your model of what predicts strikes in the NY Mets 2021 Statcast data set. Visualizing regression results can be difficult---some options you can try include: a series of pie or bar charts expressing conditional probabilities, a coefficient or "ladder" plot (there are R packages that will get you started, such as `arm`), using `geom_smooth()` with a method that works for logistic regression... Give it a try! Make a PDF (importing a PNG into Word may be easiest, or from RMarkdown if you are using RStudio) that includes your image and a short caption to help interpret your figure. Follow the "glamour of graphics" to present a visually appealing, informative product. If you include this image in the file you use to submit your homework, ...
Based on your understanding of the data, you may already find interesting questions to explore. There are two types of questions in general: descriptive vs. predictive. Descriptive questions describe what the data is. Examples include: what is the average number of downloads for an App in Google Play Store? Who is the best salesman in the Northeast region? How does the price change over the years? Is housing price correlated with zip code? You can usually answer them with summary statistics or graphs. They are part of data exploration. You can have plenty of descriptive questions to understand your data. You may present the most interesting ones in your report or presentation.
I am looking for a financial expert who can conduct an analysis of 50 companies in R programm. I should test market cap as dependent variable and ROI,ROE,ROA and net profit as independent. I would need it as soon as possible.
Create a memo-style paper addressed to a key decision-maker that uses multiple linear (OLS) regression statistical analysis to support recommendation to take or not take a course of action.
If you think you're an expert - please let me know and explain why. I'll send more info in a P.M About you: - You have us-time zone availability - you're an expert in excel and know how to create simple formulas and solutions to complex issues - you are a good communicator - You have a good conversational level English
The task is to downscale (NOT simple resize!!!) a coarse resolution (cr) satellite image using 1 fine resolution (fr) ancillary variable (target image). !!!The method to downscale the image is called area-to-point regression kriging!!! The code exists in Matlab but one needs to have solid theoretical background in: 1) geostatistics and kriging, 2) remote sensing. Attached there are few papers that uses atprk to downscale satellite images as well as the website to the Matlab code. At the end of the project the code and the downscaled image should be given to the author.
Hi, we are an academic tutoring consultancy. We are looking for a compilation of various projects suitable for academic submission as final year thesis or dissertation. We are looking for ready built projects in following domains NLP, Computer vision, Data science, Data mining, Machine learning, AI, image processing. programming languages: Python, R, opencv Special preference for projects which have a novel aspect. Please do not just copy and paste from Github as we can also do that. Deliverables : Python code- Jupyter notebook with line by line commented code Basic brief documentation scientific references used Data sets used.
Pathway/Outline project on GREEN ISSUES (4000 words); A) A project in relation to the ability to create high added value, through the enhancement of human capital, in terms of scientific, social and economic impacts on the national territory, B) Favoring appropriate models of research and contamination of knowledge and skills that can promote the development of innovative products and services with reduced impact on the environment, C) focused on issues oriented to the conservation of the ecosystem, biodiversity, as well as the reduction of the impacts of climate change and the promotion of sustainable development, as a contribution to promote green recovery and overcoming the effects of the crisis in the context of the pandemic of COVID-19. D) Use of numbers and statistics, internatio...
It must be a published in a valuable journal. The paper must be published in Q1 or Q2 journals that is available on the web of science. If as a researched, you published a paper on Q1 or Q2 please contact if not please donot ask to get this project.
Given a weighted DAG (Directed Acyclic Graph), the objects are following: 1. Partition the graph in K partitions ( K will be given as input) so that all the partitions contains almost same number of nodes. 2. The average weight (Weight is on the edge) should be ssame (almost same) in all the partition. Goal is to write an algorithm, analysis of the time complexity and implementation. Extra information: the edge weights are [0, 1] Thabk you in advance.
We have data coming in from multiple sources in multiple excel sheets which we need to audit and summarize in one sheet. We would like to have automation in this so that once the details are in, the summary is created without manual intervention
I've enjoyed a course on bioinformatics and genomic analysis and I want some bioinformaticians with experience with the R program to answer the questions of the course. Regards
1. DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained) 2. Lil Log What are Diffusion Models? Papers: Denoising Diffusion Probabilistic Models  DENOISING DIFFUSION IMPLICIT MODELS On Fast Sampling of Diffusion Probabilistic Models
I am interested in following the financial markets and the movement of stocks, up and down, and I would like to analyze the movement of stocks in quantities and prices and to know the points of concentration and purchase on the small and large intervals by technical analysis
Looking for a freelancer to complete a statistics project for my business. Freelancer must have proven experience in dealing with: Representing Data, Descriptive Statistics, Probability, Distributions, Inferential methods, sampling and hypothesis testing. Before hiring freelancer will have a few questions to answer regarding above topics.
Currently, I have several scripts which take input CSV files and reformat the data into clean data that is easy to graph. Using the output files I require correlation/principal component analysis to be done to understand how the different variables are related to each other and also require plotting of different variables against each other. The python script must be included upon completion. The graphs required for correlation/graphing are outlined in the attached documents.
Need a SAS expert to solve my problem within 24 hours
Need to develop a plot to help communicate your model of what predicts strikes in the NY Mets 2021 Statcast data set. Develop a plot to help communicate your model of what predicts strikes in the NY Mets 2021 Statcast data set. Visualizing regression results can be difficult---some options you can try include: a series of pie or bar charts expressing conditional probabilities, a coefficient or "ladder" plot (there are R packages that will get you started, such as `arm`), using `geom_smooth()` with a method that works for logistic regression... Give it a try! Make a PDF (importing a PNG into Word may be easiest, or from RMarkdown if you are using RStudio) that includes your image and a short caption to help interpret your figure. Follow the "glamour of graphics" to pre...
I have many examples in the field of operational research Like Reliability and weibul modeling, stochastic process like Poisson and Markov Chain as well as Linear programming. I need to convert these examples into matlab codes. Will send sample file upon request.