Release on 2019-04-20 | by N. M. Radziwill,Morgan Benton
An Informal Text on Applied Statistics and Data Science
Author: N. M. Radziwill,Morgan Benton
Pubpsher: Lapis Lucera
Covers exploratory data analysis using R, ggplot, and the tidyverse, with 10 parametric statistical inference tests, and examples using a 7 Step method blending estimation, analytical and computational solutions.
Take the mystery out of statistical terms and put Excel to work! If you need to create and interpret statistics in business or classroom settings, this easy-to-use guide is just what you need. It shows you how to use Excel's powerful tools for statistical analysis, even if you've never taken a course in statistics. Learn the meaning of terms like mean and median, margin of error, standard deviation, and permutations, and discover how to interpret the statistics of everyday life. You'll learn to use Excel formulas, charts, PivotTables, and other tools to make sense of everything from sports stats to medical correlations. Statistics have a reputation for being challenging and math-intensive; this friendly guide makes statistical analysis with Excel easy to understand Explains how to use Excel to crunch numbers and interpret the statistics of everyday life: sales figures, gambling odds, sports stats, a grading curve, and much more Covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends, and correlations Clarifies statistical terms such as median vs. mean, margin of error, standard deviation, correlations, and permutations Statistical Analysis with Excel For Dummies, 3rd Edition helps you make sense of statistics and use Excel's statistical analysis tools in your daily life.
Load, wrangle, and analyze your data using the world's most powerful statistical programming language About This Book Load, manipulate and analyze data from different sources Gain a deeper understanding of fundamentals of applied statistics A practical guide to performing data analysis in practice Who This Book Is For Whether you are learning data analysis for the first time, or you want to deepen the understanding you already have, this book will prove to an invaluable resource. If you are looking for a book to bring you all the way through the fundamentals to the application of advanced and effective analytics methodologies, and have some prior programming experience and a mathematical background, then this is for you. What You Will Learn Navigate the R environment Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Employ hypothesis tests to draw inferences from your data Learn Bayesian methods for estimating parameters Perform regression to predict continuous variables Apply powerful classification methods to predict categorical data Handle missing data gracefully using multiple imputation Identify and manage problematic data points Employ parallelization and Rcpp to scale your analyses to larger data Put best practices into effect to make your job easier and facilitate reproducibility In Detail Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With over 7,000 user contributed packages, it's easy to find support for the latest and greatest algorithms and techniques. Starting with the basics of R and statistical reasoning, Data Analysis with R dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with “messy data”, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone's career as a data analyst. Style and approach Learn data analysis using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach.
Release on 2000-04-20 | by William N.. Venables,William Venables,B.D. Ripley
Author: William N.. Venables,William Venables,B.D. Ripley
Pubpsher: Springer Science & Business Media
S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It is intended for readers who have some acquaintance with the S language and want to know how to use it more effectively, for example to build re-usable tools for streamlining routine data analysis or to implement new statistical methods. One of the outstanding strengths of the S language is the ease with which it can be extended by users. S is a functional language, and functions written by users are first-class objects treated in the same way as functions provided by the system. S code is eminently readable and so a good way to document precisely what algorithms were used, and as much of the implementations are themselves written in S, they can be studied as models and to understand their subtleties. The current implementations also provide easy ways for S functions to call compiled code written in C, Fortran and similar languages; this is documented here in depth. Increasingly S is being used for statistical or graphical analysis within larger software systems or for whole vertical-market applications. The interface facilities are most developed on Windows® and these are covered with worked examples. The authors have written the widely used Modern Applied Statistics with S-PLUS, now in its third edition, and several software libraries that enhance S-PLUS and R; these and the examples used in both books are available on the Internet. Dr. W.N. Venables is a senior Statistician with the CSIRO/CMIS Environmetrics Project in Australia, having been at the Department of Statistics, University of Adelaide for many years previously. Professor B.D. Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition and neural networks. Both authors are known and respected throughout the international S and R communities, for their books, workshops, short courses, freely available software and through their extensive contributions to the S-news and R mailing lists.
Release on 2007-07-13 | by Ernest M Henley,Alejandro Garcia
Author: Ernest M Henley,Alejandro Garcia
Pubpsher: World Scientific Publishing Company
This is the third and fully updated edition of the classic textbook on physics at the subatomic level. An up-to-date and lucid introduction to both particle and nuclear physics, the book is suitable for both experimental and theoretical physics students at the senior undergraduate and beginning graduate levels. Topics are introduced with key experiments and their background, encouraging students to think and empowering them with the capability of doing back-of-the-envelope calculations in a diversity of situations. Earlier important experiments and concepts as well as topics of current interest are covered, with extensive use of photographs and figures to convey principal concepts and show experimental data. The coverage includes new material on: Detectors and acceleratorsNucleon elastic form factor dataNeutrinos, their masses and oscillationsChiral theories and effective field theories, and lattice QCDRelativistic heavy ions (RHIC)Nuclear structure far from the region of stabilityParticle astrophysics and cosmology Errata(s) Errata for Chapter 6 Errata for Chapter 11
The Vital Link to Applying Evidence in Medical Decisions
Author: Gail F. Dawson
Pubpsher: Elsevier Health Sciences
Learn biostatistics the easy way. This outstanding resource presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. Easy-to-understand examples and analogies explain complex concepts, and practical applications provide you with real tools for use in daily practice. The book’s organization is intuitive, so that concepts build upon one another, maximizing understanding. This book will give you the confidence to appraise the existing literature - and the vocabulary you need to discuss it. Uses an easy-to-understand presentation and writing style to make the material easily accessible. Places its emphasis on concepts, not formulas, for more clinical-based guidance. Focuses on practical applications of biostatistics to medical practice to give you a better understanding of how and why research is conducted. Presents concise but comprehensive coverage to create easily accessible yet complete information. Provides examples, analogies, and memorization tips to make the material easier to absorb.
In this third edition of his lively history of America's game--widely recognized as the best of its kind--Benjamin G. Rader expands his scope to include commentary on Major League Baseball through the 2006 season: record crowds and record income, construction of new ballparks, a change in the strike zone, a surge in recruiting Japanese players, and an emerging cadre of explosive long-ball hitters.
The "laws" that govern our physical universe come in many guises-as principles, theorems, canons, equations, axioms, models, and so forth. They may be empirical, statistical, or theoretical, their names may reflect the person who first expressed them, the person who publicized them, or they might simply describe a phenomenon. However they may be named, the discovery and application of physical laws have formed the backbone of the sciences for 3,000 years. They exist by thousands. Laws and Models: Science, Engineering, and Technology-the fruit of almost 40 years of collection and research-compiles more than 1,200 of the laws and models most frequently encountered and used by engineers and technologists. The result is a collection as fascinating as it is useful. Each entry consists of a statement of the law or model, its date of origin, a one-line biography of the people involved in its formulation, sources of information about the law, and cross-references. Illustrated and highly readable, this book offers a unique presentation of the vast and rich collection of laws that rule our universe. Everyone with an interest in the inner workings of nature-from engineers to students, from teachers to journalists-will find Laws and Models to be not only a handy reference, but an engaging volume to read and browse.
The only comprehensive book on geriatric occupational therapy designed specifically for the COTA, Occupational Therapy with Elders: Strategies for the COTA, 3rd Edition provides in-depth coverage of each aspect of geriatric practice, from wellness and prevention to death and dying. A discussion of foundational concepts includes aging trends and strategies for elder care, and coverage of emerging areas includes low-vision rehabilitation, mobility issues including driving, and Alzheimer's disease and other forms of dementia. Expert authors René Padilla, Sue Byers-Connon, and Helene Lohman offer an unmatched discussion of diverse populations and the latest on geriatric policies and procedures in this fast-growing area of practice. Unique! A focus on the occupational therapy assistant highlights the importance of COTAs to the care of elder clients. Case studies illustrate principles and help you apply what you've learned to actual situations. Key terms, chapter objectives, and review questions highlight important content in each chapter. Use of the term "elder" reduces the stereotypical role of dependent patients and helps to dispel myths about aging. A multidisciplinary approach demonstrates how the OT and the COTA can collaborate effectively. Unique! Attention to diverse populations and cultures prepares you to respect and care for clients of different backgrounds. Unique! The companion Evolve website makes review easier with more learning activities, references linked to MEDLINE abstracts, and links to related OT sites. Unique! A discussion of elder abuse, battered women, and literacy includes information on how the COTA can address these often-overlooked issues. New information on alternative treatment settings for elders reflects new trends in OT care. Updated information on Medicare, Medicaid, and HIPAA regulations discusses the latest policies and how to incorporate the newest procedures into practice. Significant additions are made to the chapters on public policy, dementia, and oncology.