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EBookClubs

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Book The Interpretation of Multiple Observations

Download or read book The Interpretation of Multiple Observations written by Francis Henry Charles Marriott and published by . This book was released on 1974 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multivariate normal distribution; Principal component analysis; Canonical variables; Discriminant analysis; Factor analysis; Distance, similarity and scaling; Cluster analysis and related problems;

Book Oxford Handbook of Medical Statistics

Download or read book Oxford Handbook of Medical Statistics written by Janet Peacock and published by Oxford University Press. This book was released on 2011 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

Book Regression Modeling Strategies

Download or read book Regression Modeling Strategies written by Frank E. Harrell and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Book Statistical Inference via Data Science  A ModernDive into R and the Tidyverse

Download or read book Statistical Inference via Data Science A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Book Focused Observations

    Book Details:
  • Author : Gaye Gronlund
  • Publisher : Redleaf Press
  • Release : 2013-07-15
  • ISBN : 1605542512
  • Pages : 256 pages

Download or read book Focused Observations written by Gaye Gronlund and published by Redleaf Press. This book was released on 2013-07-15 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intentional teaching begins with focused observations and systematic documentation of children's learning and development. This book is filled with tools and techniques designed to help early childhood educators purposefully observe children, create portfolios with rich documentation, and plan curriculum that supports every child. Discussion questions, observation practice exercises, and reflection assignments are included, as well as DVD with classroom vignettes showcasing observation techniques. Gaye Gronlund is an early childhood education consultant who trains early childhood educators across the country. Marlyn James is an education and early childhood professor.

Book An Introduction to Applied Multivariate Analysis with R

Download or read book An Introduction to Applied Multivariate Analysis with R written by Brian Everitt and published by Springer Science & Business Media. This book was released on 2011-04-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Book Beyond Multiple Linear Regression

Download or read book Beyond Multiple Linear Regression written by Paul Roback and published by CRC Press. This book was released on 2021-01-14 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)

Book Essential Statistics  Regression  and Econometrics

Download or read book Essential Statistics Regression and Econometrics written by Gary Smith and published by Academic Press. This book was released on 2015-06-08 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life. Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics Focuses on essential information to enable students to develop their own statistical reasoning Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters

Book Statistical Methods in Water Resources

Download or read book Statistical Methods in Water Resources written by D.R. Helsel and published by Elsevier. This book was released on 1993-03-03 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

Book Multivariate Data Analysis

Download or read book Multivariate Data Analysis written by Joseph Hair and published by Pearson Higher Ed. This book was released on 2016-08-18 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

Book Practical Statistics for Data Scientists

Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Book Understanding Multiple Environmental Stresses

Download or read book Understanding Multiple Environmental Stresses written by National Research Council and published by National Academies Press. This book was released on 2007-05-25 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research of the last decade has demonstrated that ecosystems and human systems are influenced by multiple factors, including climate, land use, and the by-products of resource use. Understanding the net impact of a suite of simultaneously occurring environmental changes is essential for developing effective response strategies. Using case studies on drought and a wide range of atmosphere-ecosystem interactions, a workshop was held in September 2005 to gather different perspectives on multiple stress scenarios. The overarching lesson of the workshop is that society will require new and improved strategies for coping with multiple stresses and their impacts on natural socioeconomic systems. Improved communication among stakeholders; increased observations (especially at regional scales); improved model and information systems; and increased infrastructure to provide better environmental monitoring, vulnerability assessment, and response analysis are all important parts of moving toward better understanding of and response to situations involving multiple stresses. During the workshop, seven near-term opportunities for research and infrastructure that could help advance understanding of multiple stresses were also identified.

Book Robot Learning by Visual Observation

Download or read book Robot Learning by Visual Observation written by Aleksandar Vakanski and published by John Wiley & Sons. This book was released on 2017-01-13 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents programming by demonstration for robot learning from observations with a focus on the trajectory level of task abstraction Discusses methods for optimization of task reproduction, such as reformulation of task planning as a constrained optimization problem Focuses on regression approaches, such as Gaussian mixture regression, spline regression, and locally weighted regression Concentrates on the use of vision sensors for capturing motions and actions during task demonstration by a human task expert

Book Observations   Activities

Download or read book Observations Activities written by Seema Sharma and published by Rishi Rohit Sharma. This book was released on 2023-06-12 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to "Observations and Activities: Nurturing Young Minds through Engaging Learning Experiences," a comprehensive guide for educators and parents dedicated to creating enriching environments for children's growth and development. This book is a valuable resource that combines the power of observation with practical activities to ignite young minds and foster a lifelong love for learning. As educators and parents, we understand the significance of keen observation in understanding and supporting a child's unique journey. By carefully observing their interests, strengths, and areas for growth, we can tailor our interactions and create meaningful learning experiences. This book empowers you with a range of observation techniques and a plethora of engaging activities to enhance the learning process. Throughout these pages, we will explore the transformative impact of observation and how it informs our understanding of children's development. We will delve into various domains, including cognitive, social-emotional, physical, and creative development, and provide you with practical strategies for facilitating growth in each area. The heart of this book lies in its curated collection of engaging activities designed to captivate young learners. These activities have been carefully selected to align with the developmental needs and interests of children. From sensory play to outdoor adventures, from art and craft exploration to language and literacy games, you will discover a wealth of ideas that promote holistic development and spark a sense of wonder in young minds. As you immerse yourself in this book, we encourage you to approach each observation and activity with curiosity and an open mind. Adapt and customize them to suit the unique needs of the children in your care, fostering an inclusive and responsive learning environment. Embrace the joy of discovery alongside the children, as you witness their growth, enthusiasm, and eagerness to learn. "Observations and Activities" serves as your companion on this transformative journey, offering guidance and inspiration to support children's holistic development. Each chapter provides valuable insights, practical tips, and reflection prompts, inviting you to deepen your understanding and refine your practice. So, let us embark on this exciting adventure together, as we explore the power of observation, engage in meaningful activities, and create a nurturing space where young minds can thrive. Get ready to witness the magic of learning unfold before your eyes! Are you ready to embark on this observation-based learning journey? Let's dive in and unlock the potential within each child, one observation and activity at a time.

Book Earthquakes  Observation  Theory and Interpretation

Download or read book Earthquakes Observation Theory and Interpretation written by H. Kanamori and published by Elsevier. This book was released on 1984-01-01 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earthquakes: Observation, Theory and Interpretation

Book R for Data Science

    Book Details:
  • Author : Hadley Wickham
  • Publisher : "O'Reilly Media, Inc."
  • Release : 2016-12-12
  • ISBN : 1491910364
  • Pages : 521 pages

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Book Principles  Approaches and Issues in Participant Observation

Download or read book Principles Approaches and Issues in Participant Observation written by Danny L. Jorgensen and published by Routledge. This book was released on 2020-02-19 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a succinct, student-friendly outline of the principles, approaches, and issues in participant observation. An examination of these basic tenets is important for clarifying the philosophical rationale for conducting participant observation, making important research decisions, and appreciating the strengths and weaknesses of different approaches within the method. Participant observation as a formal means of inquiry is developed in close relation with the competing approaches of reality (ontology), truthfully apprehending reality (epistemology), and formal research (methodology). In this volume Jorgensen discusses the resulting methodologies of positivism, humanism, and most recently postmodernism in relation to principles, approaches, and issues in participant observation. Specific features of participant observation, as exemplified in a wide range of classic and contemporary studies, are examined by way of these methodological approaches along with the troublesome complexities of values, politics, ethics, and contemporary debates over appropriate representations of the resulting findings about human life. This concise primer is suitable for undergraduate and graduate students in a wide range of disciplines such as anthropology, religious studies, sociology and nursing.