Statistical Modeling Jobs

I will hand over a complete RStudio project folder that already contains the original datasets, the author’s Stata files, and the latest R script (generated with ChatGPT). The task is straightforward: run the script, resolve any execution glitches, and demonstrate that the article’s published numbers are fully reproduced in R. Scope of replication • Produce the same summary statistics and regression analyses reported in the study. • Keep every table, coefficient, standard error, and model fit metric in the exact layout the paper uses—formatting needs to mirror the article closely. What I expect back 1. The final, clean R script (or .Rmd) used to generate the results. 2. The raw console output captured during the run. 3. Regression tables and summary-...

I have a quantitative dataset that needs to be explored in both SPSS and SmartPLS 4. The project involves running a full suite of descriptive statistics in SPSS (frequencies, measures of central tendency, dispersion, normality checks, basic graphs) and then modelling the same variables in SmartPLS 4 to obtain path coefficients, loadings, AVE, CR, HTMT, R², model fit indices, and bootstrapped significance levels. What I need from you - Complete, fully labelled SPSS output (*.sav + *.spv). - The SmartPLS 4 project file and exported reports (HTML/PDF). - Tables with figures and citation - APA7 - A concise Methodology write-up (roughly 1,000–1,500 words) that details interpretation of key findings—written in clear academic language suitable for inclusion in a PhD disse...

Quant Developer — Volatility Forecasting & Regime Detection Model (Systematic Trading) Project Overview We run a systematic trading system with multiple signal sleeves, including trend-following and mean-reversion components. We're looking for a quantitative developer/researcher to build a shared volatility and regime-detection layer that feeds two things: Position sizing — via a volatility forecast used to scale exposure. Dynamic sleeve weighting — via a regime classifier that adjusts the relative allocation between our trend and mean-reversion sleeves based on the current market regime. This is not a new alpha signal — it's infrastructure that sits underneath our existing signals and directly addresses a known risk: trend and mean-reversion sle...

I’m commissioning a focused feasibility study for a proposed hydropower installation. The core of the assignment is a thorough hydrological analysis built exclusively on the historical rainfall data I will provide. You’ll be expected to translate that rainfall record into reliable runoff estimations, reservoir yield curves, flow-duration curves, and ultimately an energy-generation profile that can feed into later economic and technical assessments. If you have access to additional datasets—such as river-flow gauging or groundwater levels—feel free to flag how they might refine the results, but they are not mandatory for this phase. Please deliver: • A concise methods section outlining software, models, and any statistical techniques used (e.g., HEC-HMS,...

I will share a clean survey dataset and need it explored in SPSS so that all three of my research objectives are answered convincingly. The work centres on descriptive statistics, and I specifically want the “Corelational” angle I noted to be addressed alongside the usual measures.­­ You will run the analyses in SPSS, generate clear, publication-ready graphs, and produce a concise narrative explaining what each result means for my objectives. Please organise the output so I can trace every figure back to its syntax or output file. Deliverables: • SPSS .sav file with all computed variables and syntax • Graphs (PNG / JPEG, high-resolution) tied to each objective • A short written report (tables embedded) interpreting the descriptive and correlatio...