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!Ajiri Statisticians
Requiero realizar un caso de un problema o caso en la cual la resolucion de la misma sea por medio de una Matriz y/o Arbol de Decision
PLEASE APPLY ONLY IF YOU LIVE IN THE NORTH/SOUTH AMERICA AND HAVE AN ANDROID PHONE We're looking for a NORTH/SOUTH AMERICAN based statistics math tutor who wants to earn money by answering math questions in the comfort of their own home! Looking for tutors who can be available EST hours from 6pm to midnight. The app that we have developed is called 'Intellecquity' (). How it works is that students send a picture of a math problem that they are having trouble solving. The tutors role is to then send a picture back with a step-by-step response, showing the student how to solve the problem. Please don't hesitate to reach out should you have any questions.
I'm have attached a research paper. The statistical analysis done in that paper just needs to be replicated freshly. Everything - including dataset, methods used and sources are in that paper. I'm attaching a link to ONE OF THE sources for the dataset as well. It's in Spanish, so use google translate's "translate PDF" feature to convert it to English. Link: You can refer to the attached research paper for the rest of the details. All the stats done in the paper need to be replicated. See what other data they've used and please use that accordingly. REFER TO THE ATTACHMENT FOR DATASET AND ANY OTHER DATA.
I'm attaching a research paper. The statistical analysis done in that paper just needs to be replicated freshly. Everything - including dataset, methods used and sources are in that paper. I'm attaching a link to ONE OF THE sources for the dataset as well. It's in Spanish, so use google translate's "translate PDF" feature to convert it to English. Link: You can refer to the attached research paper for the rest of the details. All the stats done in the paper need to be replicated. See what other data they've used and please use that accordingly.
Price prediction machine learning model, involving comparison between simple linear regression model and tensorflow deep neural network (DNN) performance.
I have measured fatty acids levels of 28 fatty acids (3 fractions: free, bound and total fatty acids) in approx. 700 participants at WAVE 1 (baseline). There is global cognition scores and MMSE cognition scores for Wave 1 to Wave 4 (longitudinal, approx. 2yrs between each wave) There is diagnosis of disease at Wave 4 for patients who were normal at Wave 1 but developed disease by wave 4 I would like to analysis 1. At wave 1 are there any fatty acids significantly altered between the disease groups 2. Is any of the fatty acids associated with lower global cognition or MMSE score at Wave 1? 4. Can any of the fatty acids predict decline in global cognition or MMSE score at Wave 1 5. Can any fatty acids at Wave 1 predict development of disease at Wave 4 6. Can any fatty acids at Wave 1 pre...
I have a project about analysing MIMIC-3 dataset and waveforms. I need someone who know ML, and SQL techniques, and how to apply it on Python or Matlab. Also, someone with experience on would be perfect. We will try to implement Pearson Correlation on Heart rate, Systolic Bp, Diastolic Bp, Repiration rate, body temperature, SpO2, Glucose. There will be ten patients. We will create a dataset with these individual datas.
We offer multiple services to our customers and recently did a survey where the customers were asked about their satisfaction levels for all the services provided to them. They ranked the services at a scale from "very unsatisfactory" to "very satisfactory" based on different service indicators such as cost, wait time etc. I would like your help with the best analysis approach for this survey data. I will prefer candidates with previous experience in similar analysis. You will also be preferred if you explain how you will handle this problem and which analytical method/technique will you apply. Thank you
Require someone to setup a website or a link into my excel spreadsheet with real time sports data (Football, tennis). Happy to focus on one to beign with. Would like to setup a basic framework of how the data should be organsied and what needs to be extracted
It is stock data that i have collected and put into a set criteria and eventually would like to draw on it to make statistics but i'm unsure how i'd do it in it's current format
I want to construct the fama french factor models for a swiss equties portfolio with daily data. I want to rebalancing my portfolio every month or every quarter and then run some regressions and rolling betas regressions.
SEE ATTACHED FILE / SAMPLE !!! Create report by using statistical open sources from Internet Use our corporate ID and power point temple Print as PDF each for mobile devices / LINKED In (SEO optimized) Fixed Budget US 50 / JOB
Looking for a trainer to train me on data analysis skills on Python. I have basic knowledge of Python and data analysis. I need extensive training on more advanced techniques using matlplotlib, seaborn, hypothesis testing, time series analysis, ARIMA model & more. I am in EST time zone so training is convenient at EST night times. Looking for 5 - 6 hours of training every week. Only serious proposals and please submit a lesson plan or curriculum for the training.
the topic is how the ESG score affects the capital structure. Nasdaq 100 companies, data before covid at least 3 years. Dependent variable : Capital structure (debt ratio) Independent variable: ESG combined score ,E-score, S-score, G-score Control variables : size (total assets) time, industry, inflation, Tangible asset (total assets-current assets)/ TA credit rating (SCR, structural credit rating) Market to book ratio Profitability
Statistical modelling- help with linear modelling and statistical language I will share the details in pm. thanks.
Hi Experts, I have built some machine learning models in python (Jupyter). I need an expert to predict upcoming football matches using my existing models (or you can optimize for higher accuracy) by writing a function that can take the forthcoming data as input, preprocess it in the Xtrain format, and make predictions. And put each prediction in a new column for all rows of the input data.
I need to use RStudio to program my own Kalman filter to estimate parameters for a Lee-Carter mortality model. I need to be able to obtain parameter estimates, and respective functions used in this estimation. I also need to be able to code the Kalman filter and all it’s other extensions by hand (I.e no built in packages). I have a basis code I have been working on which I would ideally like to have improved and then extended to meet the above requirements
I need help completing a report, you need the program STATA and have knowledge using it. Additionally, you need to have knowledge in writing and APA referencing. I am completely up for a zoom meeting to explain more. Only need the completing of abstract, results, and discussion section and reference list. A maximum of 800 words excluding the abstract. need to conduct your own data analysis (from your dataset) to provide the results of the study. The results section of your report should include both descriptive summary statistics and also the results of hypothesis testing from statistical analyses (that you’ll need to conduct yourself). The study investigated whether watching funny videos buffers against negative effects of stress. The research hypotheses are: 1. People who watch the...
Job brief Urgent need of a data analyst / data scientist who can identify the key insights and performance marketing data, analyze the statistics, interpret the results, and help the company understand the impact of their strategies. Job Responsibilities: Analyzing data to identify trends Setting up processes and systems to make working with data more efficient Researching new ways to make use of data Producing reports and charts communicating trends within data to non-specialists Presenting information generated from data to clients and managers. Required skills: Problem-solving skills Accuracy and attention to detail Knowledge of data science Performance media metrics Knowledge of data visualization and data analysis Proficiency in statistics and statistical packages like Advanced E...