Presents lessons designed to show teachers how to use picture books to teach writing skills to students in grades four through eight, and includes recommended reading lists.
Praise for the First Edition "This book . . . is a significant addition to the literature onstatistical practice . . . should be of considerable interest tothose interested in these topics."—International Journal ofForecasting Recent research has shown that monitoring techniques alone areinadequate for modern Statistical Process Control (SPC), and thereexists a need for these techniques to be augmented by methods thatindicate when occasional process adjustment is necessary.Statistical Control by Monitoring and Adjustment, Second Editionpresents the relationship among these concepts and elementary ideasfrom Engineering Process Control (EPC), demonstrating how thepowerful synergistic association between SPC and EPC can solvenumerous problems that are frequently encountered in processmonitoring and adjustment. The book begins with a discussion of SPC as it was originallyconceived by Dr. Walter A. Shewhart and Dr. W. Edwards Deming.Subsequent chapters outline the basics of the new integration ofSPC and EPC, which is not available in other related books.Thorough coverage of time series analysis for forecasting, processdynamics, and non-stationary models is also provided, and thesesections have been carefully written so as to require only anelementary understanding of mathematics. Extensive graphicalexplanations and computational tables accompany the numerousexamples that are provided throughout each chapter, and a helpfulselection of problems and solutions further facilitatesunderstanding. Statistical Control by Monitoring and Adjustment, Second Editionis an excellent book for courses on applied statistics andindustrial engineering at the upper-undergraduate and graduatelevels. It also serves as a valuable reference for statisticiansand quality control practitioners working in industry.
This book takes a pragmatic/semiotic approach to real-life translating for the stage and screen, with a view to showing the potential of systematic linguistic analysis to reveal aspects of meaning-making. Functionalist, interpretive and critical perspectives merge to describe shifting aspects of phenomena in acculturating Pinter, Shakespeare, Wilde, Leonard, Shaw, Austen, etc., in the second half of the 20th century, for the Greek stage and/or screen. More specifically, the book tackles rendition of politeness in staging Pinter, implementation of narrative perspectives in stage and screen versions of Hamlet, rendition of semantic oppositions for humour generation across versions in A Midsummer Night’s Dream, rendition of subcultural linguistic variety in Shaw’s Pygmalion on stage and screen, target identity inscription in versions of Wilde’s The Importance of Being Earnest and Leonard’s Da, rendition of phenomena in subtitling and dubbing The Hunchback of Notre Dame animation film for the young, and the similarities between translation and cinematic adaptation of Austen’s Sense and Sensibility and Hislop’s The Island. Awareness of specificities in the treatment of linguistic phenomena is expected to inform the agenda of what is to be further explored in Translation Studies.
Thyroid Diseases: Clinical Fundamentals and Therapy provides a wide-ranging examination of all clinically significant areas of thyroid diseases. Underlying physiological principles are closely linked to the clinical situation and practical therapeutic interventions. The book examines the clinical course, therapy, and final outcome of thyroid diseases, particularly the bimodal and transient evolution of several thyroid diseases. It also discusses the medical, surgical, and radiometabolic therapy of thyroid diseases, stressing the pros and cons of each therapeutic modality. More than 80 acknowledged experts from North America, Europe, and Japan have contributed to this exceptional reference volume, making it essential for physiologists, clinical endocrinologists, radiologists, researchers in nuclear medicine, oncologists, and radiotherapists.
Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models: Linear regression Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis model The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.
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