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Building on the work accomplished in Reading Primers R0 & R1, Reading Primer R2 gets your learner in prime shape for reading the most common spellings in English. Besides the dozens of new sounds and spellings, students will also get a chance to read paragraphs and short stories for the first time.
For use with the Words in Color teaching approach, R0 gives your learner practice with the five basic vowel sounds and spellings found on Chart 0 of the wall-sized or desktop charts. Once these sounds and signs are mastered, R1 provides practice for nine new sounds with 20 new spellings. Learners also begin to read simple sentences, and are well prepared to begin decoding the 59 sounds and 400+ spellings in the English langauge.
A hybrid between storybook and textbook, Book of Stories is for use with the Words in Color family of literacy materials. Learners begin by decoding simple sentences involving few combinations of sounds and spellings. The book progresses to include full paragraphs with punctuation, capital letters, and the most common of the 400+ sound-spellings in American English. Even the trickiest words are made meaningful through the down-to-Earth stories of family life.
Each of the seven worksheets consists of eight types of challenges that will have students drawing, transforming words, and writing creative sentences. Student Workbook 1 starts at the beginning of Reading Primer R1 and finishes at the end of Reading Primer R2. Your learner will hop from beginning to read, to learning the basics of grammar, to expressing themself through writing.
This book is an introduction to teaching with Words in Color, and will guide you through how to teach all the sounds and spellings found in Reading Primers R0 & R1. In the first section, you will be introduced to some basic characteristics of the approach, and given some simple activities to help get familiar with the materials. The second and third section will take you through Reading Primers R0 & R1 - introducing appropriate teaching techniques and games along the way. The fourth section is a toolbox of teaching techniques and games for various levels of reading, which you can use during R0 & R1, or afterwards into Reading Primers R2 and R3.
Environmental DNA (eDNA) refers to DNA that can be extracted from environmental samples (such as soil, water, feces, or air) without the prior isolation of any target organism. The analysis of environmental DNA has the potential of providing high-throughput information on taxa and functional genes in a given environment, and is easily amenable to the study of both aquatic and terrestrial ecosystems. It can provide an understanding of past or present biological communities as well as their trophic relationships, and can thus offer useful insights into ecosystem functioning. There is now a rapidly-growing interest amongst biologists in applying analysis of environmental DNA to their own research. However, good practices and protocols dealing with environmental DNA are currently widely dispersed across numerous papers, with many of them presenting only preliminary results and using a diversity of methods. In this context, the principal objective of this practical handbook is to provide biologists (both students and researchers) with the scientific background necessary to assist with the understanding and implementation of best practices and analyses based on environmental DNA.
The urgent need for rapid and reliable analytical tools suitable to perform a large number of high quality analyses of biological molecules has been dramatically stressed by the recent crisis caused by the COVID-19 pandemic. This book provides graduate students and young researchers with the elements of interdisciplinary knowledge necessary to apply the wide arsenal of bioanalytical devices and methods available today.
Master linear regression techniques with a new edition of a classic text Reviews of the Second Edition: "I found it enjoyable reading and so full of interesting material that even the well-informed reader will probably find something new . . . a necessity for all of those who do linear regression." —Technometrics, February 1987 "Overall, I feel that the book is a valuable addition to the now considerable list of texts on applied linear regression. It should be a strong contender as the leading text for a first serious course in regression analysis." —American Scientist, May–June 1987 Applied Linear Regression, Third Edition has been thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, the Third Edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. The Third Edition incorporates new material reflecting the latest advances, including: Use of smoothers to summarize a scatterplot Box-Cox and graphical methods for selecting transformations Use of the delta method for inference about complex combinations of parameters Computationally intensive methods and simulation, including the bootstrap method Expanded chapters on nonlinear and logistic regression Completely revised chapters on multiple regression, diagnostics, and generalizations of regression Readers will also find helpful pedagogical tools and learning aids, including: More than 100 exercises, most based on interesting real-world data Web primers demonstrating how to use standard statistical packages, including R, S-Plus®, SPSS®, SAS®, and JMP®, to work all the examples and exercises in the text A free online library for R and S-Plus that makes the methods discussed in the book easy to use With its focus on graphical methods and analysis, coupled with many practical examples and exercises, this is an excellent textbook for upper-level undergraduates and graduate students, who will quickly learn how to use linear regression analysis techniques to solve and gain insight into real-life problems.
DFSMSrmm from IBM® is the full function tape management system available in IBM OS/390® and IBM z/OS®. With DFSMSrmm, you can manage all types of tape media at the shelf, volume, and data set level, simplifying the tasks of your tape librarian. Are you a new DFSMSrmm user? Then, this IBM Redbooks® publication introduces you to the DFSMSrmm basic concepts and functions. You learn how to manage your tape environment by implementing the DFSMSrmm management policies. Are you already using DFSMSrmm? In that case, this publication provides the most up-to-date information about the new functions and enhancements introduced with the latest release of DFSMSrmm. You will find useful information for implementing these new functions and getting more benefits from DFSMSrmm. Do you want to test DFSMSrmm functions? If you are using another tape management system and are thinking about converting to DFSMSrmm, you can start DFSMSrmm and run it in parallel with your current system for testing purposes. This book is intended to be a starting point for new professionals and a handbook for using the basic DFSMSrmm functions. To learn about some of the newer DFSMSrmm functions and features refer to Redbooks Publication What is New in DFSMSrmm, SG24-8529.
Although the web and online SAS® communities can provide volumes of information for programmers, these resources are often overwhelming and lack a simple path to guide coding SAS. This reference, however, does provide such a path from a data user’s standpoint vs. seeing things as a code writer. Written by an experienced SAS programmer, this book lets SAS coders easily find explanations and clarification to typical programming problems. This book presents practical real-world data analysis steps encountered by analysts in the field. These steps include the following: Getting to know raw data Understanding variables Getting data into SAS Creating new data variables Performing data manipulations, including sorting, ranking, grouping, subtotal, total, and percentage Statistical testing under a broad range of logical and conditional settings Data visualization Throughout this book, statements and codes are accompanied by thorough annotation. Line-by-line explanations ensure that all terms are clearly explained. Code examples and sample codes have broad usages. All the examples are related to highway transportation where the use of big data is exploding and presenting new challenges and opportunities for growth. Clear and precise practical introductory material on statistics is integrated into the relevant SAS procedures to bolster users’ confidence in applying such methods to their own work. Comprehensive and foundational coverage, systematic introduction of programming topics, thoroughly annotated code examples, and real-world code samples combine to make SAS® Coding Primer and Reference Guide an indispensable reference for beginners and experienced programmers.