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Espaço Amostral e Eventos [] Para falar em probabilidade é necessário antes definir o conceito de experimento aleatório. A partir dos experimentos aleatórios podem ser definidos os conceitos de: Read more Business Statistics [] The course purpose is to introduce a formal framework for analyzing real life business problems with actual data, so that students can improve their understanding of the circumstances in which statistical techniques should be used and how to apply statistics to practical business situations. The entire course is supported with many case studies and worked-out examples. In particular, statistical techniques are grouped in sections covering applications in the field of decision making, business forecasting, quality control, and commonly used descriptive and inferential Read more Albert and Cohen (1992) administered the MMSE to 40 elderly residents with severe cognitive impairment. The internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. More of the MMSE was poor in patients with an MMSE score 10 (alpha = ). However, when subjects representing the full range of MMSE scores were included, the internal consistencyA method of measuring reliability . Internal consistency reflects the extent to which items of a test measure various aspects of the same characteristic and nothing else. Internal consistency coefficients can take on values from 0 to 1. Higher values represent higher levels of internal consistency. More was excellent (alpha = ). Scripts from the online course on Time Series and Forecasting in R. [] Selecting the model. Due to seasonality involved, simple models will not be able to capture it. We therefore use the seasonal ARIMA and exponential smoothing models. Exponential smoothing models have seasonality built in it by construction. Complex models like mixed models and neural nets will be an overkill. Read more
By Samuel Calderon, Felipe Bedoya, Maira Chamota, Jennifer Ponce, Nelly Reyes, Almendra Rodriguez - Course materials for the Data Science Boot Camp, Weldon Cooper Center for Public Service, University of Virginia June 8-10, 2021 [] This boot camp is designed to help research assistants rapidly to become productive doing data science as a member of the Cooper Center team. The mini-course offers introductory training in how to do data science as a member of a team. It also provides an orientation to the projects, resources, and house styles that are specific to the Cooper Center. R4DS: R for Data Science by Hadley Wickham and Garrett Grolemund. An excellent introduction, available for free Read more
This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. [] This book has been written for use as a textbook for ECON 233, the introductory statistics course for economics majors at Simon Fraser University. The current version of the book can be obtained at The book itself is written using Bookdown, and its source code is available at Brian Krauth is Associate Professor of Economics at Simon Fraser Read more A brief introduction to statistical thinking in biostatistics supported by the R programming language. [] Welcome to a primer for biostatistics in R. Mathematical! Adventure time! Well, the mathematical part is up to you, but this is an adventure. This set of learning materials is a guide developed to support you in better developing critical thinking using statistics. Critical thinking very generally is a mode of thinking that is self-directed and evidence based (Facionie 2017). Statistical thinking is thus an ideal opportunity and partner in honing literacy adventure skills in this Read more This project is an effort to connect his Hayess conditional process analysis work with the Bayesian paradigm. Herein I refit his models with my favorite R package for Bayesian regression, Bürkners brms, and use the tidyverse for data manipulation and plotting.
By Kamarul Imran, Wan Nor Arifin, Tengku Muhammad Hanis Tengku Mukhtar
Exame mini mental - An R Exercise in Data Collection, Cleaning, and Merging U.S. Census Data [] This document is intended as a follow-along tutorial for learning how to perform data collection and cleaning with R. To the best of my ability, I have tried to make this illustrative of real data and real tasks that anyone from a social science student to a county government official might actually encounter. To that end, I am building upon actual projects that I have worked on as a graduate research assistant to convey this information. For context, previously, I conducted a Mississippi case study of how indoor Read more
[] Andrew Hayess Introduction to Mediation, Moderation, and Conditional Process Analysis text, the second edition of which just came out, has become a staple in social science graduate education. Both editions of his text have been from a frequentist OLS perspective. This project is an effort to connect his work with the Bayesian Read more This paper examines the role of the Holy Spirit in fructifying. [] This paper examines the role of Galatians chapter five, verses twenty-two through twenty-six in the life of a Christian. The first two verses in consideration speak of the fruit of the Spirit, and further exphasize that, when walking in the Spirit, a Christian is not under the law; the next two verses harmonize the role of Christs work on the cross, and the role of the Holy Spirit in leading a Christians. The last verse in consideration is an exortation to act according to the flesh. No serious study of the Bible is Read more Before you rush out for tacos and dancing, take a minute to learn about the history of the holiday.
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This is an introduction to using mixed models in R. It covers the most common techniques employed, with demonstration primarily via the lme4 package. Discussion includes extensions into generalized mixed models, Bayesian approaches, and realms beyond. [] Michael Clark Translator : 김설기 Read more Using the Uber Movement dataset, we combine it with the OpenStreetMap data for Berlin. [] Uber released for some cities the datasets of their drivers movement. Those include the OSM way identifier, the mean and standard speed deviation. In order to anonymize them, the data have been aggregated per hour. Lets have a look at the Berlin data for the month of June 2019, and how they are distributed in space and time. For this, we will combine those data with the OpenStreetMap shapefile for Berlin. Through this book, we will use some concepts of data analysis Read more Somos punto de referencia dentro del sector del Taxi, debido a nuestra profesionalidad, seriedad y amabilidad. Ofrecemos al taxista y futuro taxista nuestra colaboración tanto a nivel profesional como personal, le damos la bienvenida y le invitamos a conocer nuestra web y todos sus servicios.