Tilastollinen mallinnus Jobs

SOLO HISPANOHABLANTES Necesito apoyo puntual para un trabajo universitario que debo desarrollar en R Studio. Los datos con los que trabajaré son numéricos y el objetivo es extraer información clara mediante análisis descriptivo. El entregable debe incluir: • Medidas de tendencia central (media, mediana, moda). • Medidas de dispersión (varianza, desviación estándar, rango). • Distribuciones de frecuencias con tablas y gráficos básicos en ggplot2 o herramientas nativas de R. También requiero: – Código bien comentado en un script .R para que pueda reproducir cada paso. – Breve informe en PDF o Word explicando los resultados y su interpretación académica. – Ses...

I have a cleaned set of demographic point data and I need it transformed into meaningful, predictive maps. Using ArcGIS (Desktop or Pro), I want you to run a full geostatistical workflow—variogram modelling, kriging (or the most suitable interpolator), cross-validation and accuracy reporting—to reveal and visualise the underlying spatial patterns. The ultimate goal is to understand where demographic concentrations are likely to rise or fall across the study area so that I can guide planning decisions with confidence. Your experience with the Geostatistical Analyst and Spatial Analyst toolsets will be crucial. If you normally script parts of the process in ModelBuilder or Python/ArcPy, feel free, as long as the chain of steps is documented inside the project. Deliverables &b...

Hi, I am looking for a quantitative analyst or researcher who has an active Pro or Premium account on Before applying, please confirm that you already have a paid subscription and that you actively use the platform in your research or strategy development. Thank you.

I am getting ready to draft a quantitative paper for a Scopus-indexed journal and need one-on-one coaching in SPSS. I am a complete beginner, so please assume no prior syntax knowledge. The first milestone must center on Exploratory Factor Analysis (EFA): importing data, screening it, choosing extraction and rotation methods, interpreting the output, and writing the results section in publication style. Once EFA is clear, we will move on to Confirmatory Factor Analysis (ideally through SPSS AMOS or an equivalent plug-in) and finally to full Structural Equation Modeling. I learn best through live screen-sharing sessions backed by annotated SPSS syntax and concise, step-by-step notes that I can reuse when writing the methods and results sections. By the end of our work I should be able to...

I need a Python expert to take several CSV and Excel files and turn them into solid, statistically sound insights. The work is focused entirely on data analysis and processing—no web scraping or app development—so your time goes straight into cleaning the raw tables, exploring patterns, and building the statistical models that answer my business questions. You should feel at home with pandas for wrangling, NumPy and SciPy for numerical work, and a modeling library such as scikit-learn or statsmodels to run regressions, clustering, or any technique you recommend. If you prefer working in a Jupyter notebook, that’s perfect; a well-commented .py script is also fine. I’ll supply the data files and a brief outlining the hypotheses I want tested the moment we start. Del...

I need a skilled statistician to perform Bayesian analysis with meta-regressions on clinical trials data for a meta-analysis in the healthcare domain. The primary outcome of interest is side effects. Key requirements: - Expertise in Bayesian statistics - Experience with meta-analysis and meta-regression - Strong background in healthcare data, specifically clinical trials - Proficiency in statistical software (e.g., R, Python, STATA) Ideal candidates should provide: - Previous relevant work samples - Detailed methodology outline - Estimated timeline for completion

I need a complete high-frequency trading (HFT) strategy for actively-traded equities. The solution must be built around three data pillars that I already have in place: extensive historical tick data for back-testing, a low-latency real-time market feed for live decisions, and curated news feeds for event-driven signals. Your job is to transform these inputs into a production-ready strategy that can ingest the streams, react within microseconds, and handle the entire trade life-cycle—from signal generation through execution and risk checks—without human intervention. Deliverables • Strategy logic and mathematical model, fully documented • Back-test framework wired to my historical data, with reproducible results • Low-latency execution module that plugs...