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Ripley Readers Level1 Lib Edn Bears
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Book Synopsis Ripley Readers LEVEL1 LIB EDN Bears! by :
Download or read book Ripley Readers LEVEL1 LIB EDN Bears! written by and published by Ripley Publishing. This book was released on 2020-09-08 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Did you know that a bear can run fast enough to catch a running horse? Easy to read, fun to see, and filled with amazing things, kids (even reluctant readers) will love Ripley Readers Bears! Filled with stunning photography and easy-to-read writing, this Level 1 book covers everything from giant pandas to polar bears. It's all true and unbelievable! Ripley Level 1 Readers are perfect for kids who know their alphabet and are starting to sound out their words. From the editors of Ripley's Believe It or Not! comes Ripley Readers. Designed to help kids build their reading skills and confidence at any level, this program offers a variety of fun, entertaining, and unbelievable topics to interest even the most reluctant readers. With stories and information that will spark their curiosity, each book will motivate them to start and keep reading. Each title is certified by and includes the Lexile measure, ensuring that the content is appropriate for each level and allowing those just beginning to read, as well as those starting to advance to chapter books, to have just the right reading content. Level 1 Sounding It Out (Pre-K-Kindergarten)—For kids who know their alphabet and are starting to sound out words. Level 2 Reading with Help (Pre-K-Grade 1)—For kids that know sight words and are learning to sound out new words. Level 3 Independent Reading (Grades 1-3)—For kids that are beginning to read on their own. Level 4 Chapters (Grades 2-4)—For confident readers who enjoy a mixture of images and story. Hardcover with dust jacket
Book Synopsis Discovery All Star Readers: I Am a Penguin Level 1 (Library Binding) by : Lori C. Froeb
Download or read book Discovery All Star Readers: I Am a Penguin Level 1 (Library Binding) written by Lori C. Froeb and published by Silver Dolphin Books. This book was released on 2020-09-08 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build reading skills while learning about a penguin...from a penguin’s perspective! Where do penguins live? What do they eat? How do penguins move on land? Written from a penguin’s unique point of view and accompanied by stunning photographs, Discovery All Star Readers: I Am A Penguin, a Level 1 reader, answers these questions and more while helping early readers build literacy skills and a love of reading. This reader includes easy vocabulary familiar to kindergartners and first-graders, and a glossary to reinforce reading comprehension. This edition has library binding.
Book Synopsis Marina and the Treasure Chest by : Ripley's Believe It Or Not!
Download or read book Marina and the Treasure Chest written by Ripley's Believe It Or Not! and published by Ripley Publishing. This book was released on 2020-08-25 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: How much trouble could one little octopus get into exploring all by herself? Join Marina as this curious little octopus stumbles upon some treasure and just a little trouble! The newest picture book from Ripley’s features fun and engaging stories around another Ripley’s Aquarium mascot, this time Marina the Giant Pacific Octopus. Filled with expressive illustrations, silly situations, and lovable characters, kids and parents alike will be charmed by this little girl’s adventure!
Book Synopsis Room for Ripley by : Stuart J. Murphy
Download or read book Room for Ripley written by Stuart J. Murphy and published by Harper Collins. This book was released on 1999-08-25 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Carlos pours cups, pints and quarts of water into his fish bowl, getting ready for his new puppy, Ripley. Readers can learn about capacity as they see just how much water it takes to make room for Ripley!
Download or read book School Library Journal written by and published by . This book was released on 1999 with total page 1242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistics written by Michael J. Crawley and published by John Wiley & Sons. This book was released on 2005-05-06 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http://www.imperial.ac.uk/bio/research/crawley/statistics Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.
Book Synopsis Using R for Introductory Statistics by : John Verzani
Download or read book Using R for Introductory Statistics written by John Verzani and published by CRC Press. This book was released on 2018-10-03 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Download or read book Core Statistics written by Simon N. Wood and published by Cambridge University Press. This book was released on 2015-04-13 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods.
Book Synopsis Location Theory and Decision Analysis by : Yupo Chan
Download or read book Location Theory and Decision Analysis written by Yupo Chan and published by Springer Science & Business Media. This book was released on 2011-08-26 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: Employing state-of-the art quantitative models and case studies, Location Theory and Decision Analysis provides the methodologies behind the siting of such facilities as transportation terminals, warehouses, housing, landfills, state parks and industrial plants. Through its extensive methodological review, the book serves as a primer for more advanced texts on spatial analysis, including the monograph on Location, Transport and Land-Use by the same author. Given the rapid changes over the last decade, the Second Edition includes new analytic contributions as well as software survey of analytics and spatial information technology. While the First Edition served the professional community well, the Second Edition has substantially expanded its emphasis for classroom use of the volume. Extensive pedagogic materials have been added, going from the fundamental principles to open-ended exercises, including solutions to selected problems. The text is of value to engineering and business programs that offer courses in Decision and Risk Analysis, Muticriteria Decision-Making, and Facility Location and Layout. It should also be of interest to public policy programs that use geographic Information Systems and satellite imagery to support their analyses.
Download or read book How Do I Feel? written by Rebekah Lipp and published by Hardie Grant Publishing. This book was released on 2024-10-29 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential emotional literacy tool for children with 60+ definitions inside! Join Aroha and her friends as they share how different emotions feel in the body and find the words for how they truly feel! A useful resource for parents, carers and educators to help children recognise, label and understand their many emotions. Notable Book in the Storylines Children's Literature Trust of NZ Book Awards 2021 Finalist in the 2022 NZ Book Awards for Children & Young Adults (Elsie Locke Award for Non-Fiction) ‘This book is a much-needed tool for children and those caring for them. By showing that a wide range of emotions each have their own unique value and purposes, this book helps to both normalise and encourage understanding towards the big emotions and feelings that, although sometimes demonised, are experienced by each and every one of us at some point in our lives.’ — DANIELLE WHITBURN, Mental Health Foundation of New Zealand
Book Synopsis Modeling Discrete Time-to-Event Data by : Gerhard Tutz
Download or read book Modeling Discrete Time-to-Event Data written by Gerhard Tutz and published by Springer. This book was released on 2016-06-14 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.
Book Synopsis The Handbook of Sports Medicine and Science by : Niels H. Secher
Download or read book The Handbook of Sports Medicine and Science written by Niels H. Secher and published by John Wiley & Sons. This book was released on 2009-04-08 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume in the Handbook of Sports Medicine and Science series delivers up-to-date scientific knowledge alongside practical applications in rowing, making it an invaluable resource for researchers, coaches and rowers of all abilities. Published under the auspices of the International Olympic Committee, in collaboration with the International Rowing Federation (FISA), Rowing: Provides key knowledge of the historical, nutritional and psychological aspects of rowing Offers ground-breaking physiological insights which can help shape future training methodologies Features a rowing periodization plan to help trainers and athletes create comprehensive and effective training programs, racing plans and tactics. Rowing brings together internationally renowned experts with experience in competitive rowing and sports medicine, making this the complete handbook of medicine, science and practice in rowing.
Book Synopsis Data Mining and Predictive Analytics by : Daniel T. Larose
Download or read book Data Mining and Predictive Analytics written by Daniel T. Larose and published by John Wiley & Sons. This book was released on 2015-02-19 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.
Book Synopsis Google Earth Engine Applications by : Lalit Kumar
Download or read book Google Earth Engine Applications written by Lalit Kumar and published by MDPI. This book was released on 2019-04-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
Book Synopsis Financial Risk Modelling and Portfolio Optimization with R by : Bernhard Pfaff
Download or read book Financial Risk Modelling and Portfolio Optimization with R written by Bernhard Pfaff and published by John Wiley & Sons. This book was released on 2016-08-16 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. This edition has been extensively revised to include new topics on risk surfaces and probabilistic utility optimization as well as an extended introduction to R language. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Is accompanied by a supporting website featuring examples and case studies in R. Includes updated list of R packages for enabling the reader to replicate the results in the book. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.
Download or read book R in Action written by Robert Kabacoff and published by Manning Publications. This book was released on 2015-03-03 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. R in Action, Second Edition is a language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients. Purchase of the print book comes with an offer of a free PDF eBook from Manning. Also available is all code from the book.
Author :Alberto M. Marchevsky Publisher :Springer Science & Business Media ISBN 13 :1441910301 Total Pages :364 pages Book Rating :4.4/5 (419 download)
Book Synopsis Evidence Based Pathology and Laboratory Medicine by : Alberto M. Marchevsky
Download or read book Evidence Based Pathology and Laboratory Medicine written by Alberto M. Marchevsky and published by Springer Science & Business Media. This book was released on 2011-07-01 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on practical, patient related issues, this volume provides the basic concepts of Evidence Based Medicine (EBM) as they relate to Pathology and Laboratory Medicine and presents various practical applications. It includes EBM concepts for use in the identification of cost-effective panels of immunostains and other laboratory tests and for improvement of diagnostic accuracy based on the identification of selected diagnostic features for particular differential diagnosis. EBM concepts are also put forth for use in Meta-analysis to integrate the results of conflicting literature reports and use of novel analytical tools such as Bayesian belief networks, neural networks, multivariate statistics and decision tree analysis for the development of new diagnostic and prognostic models for the evaluation of patients. This volume will be of great value to pathologists who will benefit from the concepts being promoted by EBM, such as levels of evidence, use of Bayesian statistics to develop diagnostic and other rules and stronger reliance on "hard data" to support therapeutic and diagnostic modalities.
