Modelagem Estatística Jobs

The paper is already outlined and the dataset—purely observational—has been cleaned and is ready to load into R. What remains is the core empirical work: applying a Difference-in-Differences strategy, interpreting the findings, and writing up the Results and Discussion sections so they flow naturally with the rest of the manuscript. Scope of work You will run the DiD models in R (base, tidyverse, or workflows are all fine) and include any necessary robustness checks or placebo tests. Once the estimates are solid, weave the numbers, tables, and plots into a coherent narrative that completes both the Results and the Discussion, linking back to the hypotheses already laid out in the introduction. Deliverables • Reproducible R script or R Markdown file with all code and...

I'm looking for an experienced developer to create an AI trading robot focused on the Forex market. The robot should implement a day trading strategy. Ideal skills and experience: - Expertise in Forex trading - Experience in developing AI trading algorithms - Strong background in day trading strategies - Proficiency in relevant programming languages (Python, R, AI etc.) - Ability to backtest and optimize trading models - Knowledge of risk management techniques - Able to link to outsource indicator to open and close trade - Project fee is highly negoitabe , depends on your contribition (entry price is just for reference) Please include your relevant experience in your application.

We are looking for an experienced researcher or data analyst with strong knowledge of Confirmatory Factor Analysis (CFA) to assist with an academic thesis task. The project relates to the following Topic: What are the key influencing mechanisms of South African women's self-undermining and labyrinthine paths to attaining their first promotion? Scope of Work: Perform Confirmatory Factor Analysis (CFA) on the provided dataset. The data is already cleaned and Exploratory Factor Analysis (EFA) has been completed in SPSS. Your task is to test the measurement instrument items, identify low-loading items, eliminate them, and retain the high-loading items. Develop the Results and Discussion section (approx. 2000 words) based on the CFA findings. Follow the format and guidance from a jo...

Project requirements 1) Submission package Report files Part 1 report: maximum 2 pages Part 2 report: maximum 6 pages Page limits include figures and tables Page limits exclude title page, table of contents, and references The report must include explanations suitable for readers not familiar with programming Report must be submitted as PDF (or other allowed document format as specified by your portal) Code files (reproducible) Python code must be provided as Jupyter notebook(s) (.ipynb) R code must be provided as RMarkdown (.Rmd) if required by the brief Code must be runnable by someone else to reproduce your results If you reuse outputs or cleaned data from earlier questions, you must reference them clearly Submission location All relevant files must be submitted to the des...

Basically there are two task in this project. 1: I have a research paper written with the help of AI, and it needs to be re-written in human style patter so that it bypass the AI detection. 2: In the research paper, there is a section of analysis of a dataset using R. That analysis also needs to be done and three hypothesis needs to be tested with results written without AI language detection. I have a numerical dataset ready for a full hypothesis-testing workflow in R. The job covers three specific tests—t-tests, Chi-square tests and ANOVA—applied where each is statistically appropriate. I will supply the cleaned data and any relevant codebook; you return a well-commented R script (base R or tidyverse is fine) that reproduces every step, plus a concise write-up that reads lik...

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

I'm seeking an experienced writer to help with my PhD thesis in bioinformatics. Requirements: - Complete the Introduction, Literature Review, and Discussion sections - Follow APA style and formatting - Work from my existing workflow (I have to papers) - Incorporate a mix of my specific sources and research papers, along with finding additional relevant sources Ideal Skills & Experience: - Expertise in bioinformatics and academic writing - Strong research skills and familiarity with APA guidelines - Prior experience with PhD-level thesis writing Looking forward to your bids!

I’m working on a school assignment that must be completed in R Studio and centres on running a linear regression. The dataset is ready to share, and the goal is to: • write a clear, R script that imports the data, checks basic assumptions, fits the linear model, and outputs tidy results • provide concise explanations of each step so I can understand the rationale behind the code • include a brief write-up (Word is fine) that summarises findings, highlights any limitations, and suggests next steps Please keep the code beginner-friendly—base R or tidyverse is fine—and make sure every command is reproducible in R Studio. If you’ve helped students with regression assignments before, I’d love to see a quick sample or hear how you’d struc...