Modelado Estadístico Jobs

Mi investigación correlacional pertenece al campo de las Ciencias Sociales y combina datos cuantitativos (escalas tipo Likert, puntajes) con información cualitativa codificada. Necesito que ejecutes un análisis factorial completo en SPSS, interpretes los resultados y los conviertas en un informe listo para publicarse. Contexto del proyecto – Objetivo: identificar constructos latentes y comprobar la validez de las escalas aplicadas. – Muestra: base de datos mixta ya organizada en .sav (variables numéricas y columnas dummy de las categorías cualitativas). Lo que requiero que entregues • Syntax (.sps) bien comentado con todos los pasos: depuración, prueba de adecuación (KMO, Bartlett), extracción, rotació...

I need a PowerPoint that walks through a complete yield-improvement study in the diffusion stage of semiconductor manufacturing. The story has to be driven by a combination of Design of Experiments and ANOVA, so that every slide shows why a factor was chosen, how the experiment was laid out, how the model was validated, and finally how much yield was recovered. Please assume I want to see: • a concise process overview that frames the diffusion bottleneck, • the raw or simulated data you analysed, • clear DOE tables (factor levels, runs, replicas), • ANOVA tables with p-values highlighted, • diagnostic plots, interaction plots and optimisation results, • the calculated gain in yield and the practical recommendation for the fab. If you already hav...

I’m in the home stretch of my economics thesis on how commodity prices and global financial conditions shape the Australian dollar, using Mexico as a benchmark. The first two chapters are drafted and already carry my supervisor’s detailed comments; they now need a polish—tighten the arguments, smooth out the language, and align every citation and section heading with our style guide. Where I need the most help is the final chapter. I have a partial dataset covering commodity indices, interest-rate spreads, and exchange-rate series, but gaps remain for the most recent quarterly figures and some Mexican financial variables. Once the dataset is complete, I want robust econometric testing (VAR, VECM, or a method you propose) that cleanly isolates the separate and joint impac...

I have a collection of unstructured data that needs to be mined and modelled in R so I can reliably forecast future trends hidden inside it. Your task is to walk the data through the full mining pipeline—from cleaning and feature extraction to model selection, validation, and interpretation—while grounding every step in fundamental data-mining principles. The work centres on: • Ingesting and preprocessing raw, unstructured text or mixed-format inputs. • Applying appropriate R packages (tidyverse, text mining suites, caret, or any other you feel is best) to transform the data into an analysable structure. • Building and evaluating predictive models that reveal upcoming patterns or shifts I can act on. • Supplying reproducible R scripts/notebooks, c...

A 37 day, on-site module in Vijayawada begins 15 July 2026 and covers core Business Analytics concepts right through to intermediate-level AI insights. The audience is a batch of students who already use data in their daily roles, so the sessions must balance theory with immediately applicable, tool-driven practice—think exploratory data analysis, statistical modelling, predictive analytics and an introduction to generative AI techniques using mainstream platforms such as Excel, SQL and Power BI. I need offline trainer: • A complete training roadmap broken into daily objectives, and assessment checkpoints • Slide decks, datasets and code notebooks that I can keep for future cohorts • Brief post-training reports on participant progress and next-step recommendations...

I am looking for an experienced freelancer with expertise in *clinical trial biostatistics* and *R programming* to complete a small statistical analysis task using a clinical trial dataset. The task may involve data preparation, statistical analysis, and generating tables, listings, figures, or graphs in R. The exact requirements and dataset will be shared with the selected freelancer due to confidentiality. *Required Skills:* •⁠ ⁠R Programming •⁠ ⁠Clinical Trial Data Analysis •⁠ ⁠Biostatistics •⁠ ⁠Statistical Analysis •⁠ ⁠Data Visualization (ggplot2 or similar) •⁠ ⁠Descriptive Statistics •⁠ ⁠Regression Analysis •⁠ ⁠Survival Analysis (Kaplan–Meier and Cox models) •⁠ ⁠Data Manipulation (dplyr/tidyr) •⁠ ⁠Clinical Research ...

Master Director: Most is already built: Project $10-$30 MAX FIRM PROJECT: Autonomous Non-Print Quantitative Research Platform NOTE: Most of this framework is already built. I am seeking an experienced Python/QuantConnect LEAN developer to complete, integrate, enhance, and automate the remaining components. Please read the attached project overview before bidding. OBJECTIVE Build a modular quantitative research platform that transforms Interactive Brokers (IBKR) Time & Sales data into statistically validated trading strategies. This is NOT a traditional trading bot. The objective is to create a repeatable research pipeline that can continuously generate, validate, rank, deploy, and improve trading strategies from proprietary Non-Print market structure data. The entire system m...

I'm looking for an experienced developer to create an AI-powered stock trading system focused on swing trading. The system needs to incorporate several key features to ensure efficient and effective trading. Key Requirements: - Implement swing trading strategies. - Focus exclusively on the stock market. - Primary features: - Real-time data analysis - Automated trade execution - Comprehensive risk management tools - Trade accuracy 80%+ - Stop loss at 1% without exception Ideal Skills and Experience: - Strong background in AI and machine learning. - Proven experience in developing trading algorithms, specifically for swing trading. - In-depth knowledge of the stock market and trading dynamics. - Expertise in real-time data processing and risk management techniques. - Profici...