This is the first book on the optimal estimation that places its major emphasis on practical applications treating the subject more from an engineering than a mathematical orientation Even so theoretical & mathematical concepts are introduced & developed sufficiently to make the book a self-contained source of instruction for readers without prior knowledge of the basic principles of the field The work is the product of the technical staff of the The Analytic Sciences Corporation (TASC) an organization whose success has resulted largely from its applications of optimal estimation techniques to a wide variety of real situations involving large-scale systems Arthur Gelb writes in the Foreword that It is our intent throughout to provide a simple & interesting picture of the central issues underlying modern estimation theory & practice Heuristic rather than theoretically elegant arguments are used extensively with emphasis on physical insights & key questions of practical importance Numerous illustrative examples many based on actual applications have been interspersed throughout the text to lead the student to a concrete understanding of the theoretical material The inclusion of problems with built-in answers at the end of each of the nine chapters further enhances the self-study potential of the text After a brief historical prelude the book introduces the mathematics underlying random process theory & state-space characterization of linear dynamic systems The theory & practice of optimal estimation is them presented including filtering smoothing & prediction Both linear & non-linear systems & continuous- & discrete-time cases are covered in considerable detail New results are described concerning the application of covariance analysis to non-linear systems & the connection between observers & optimal estimators The final chapters treat such practical & often pivotal issues as suboptimal structure & computer loading considerations This book is an outgrowth of a course given by TASC at a number of US Government facilities Virtually all of the members of the TASC technical staff have at one time & in one way or another contributed to the material contained in the work ...

Emphasizing application of knowledge active learning strategies critical thinking & evidence-based practice this updated 3rd Edition of Applied Pathophysiology A Conceptual Approach to the Mechanisms of Disease explores pathophysiology through the lens of body function concepts & what happens when function is altered through injury or disease This novel approach helps students understand that diseases are rarely confined to one body system & challenges them to apply what they've learned to a range of diseases rather than trying to memorize facts about specific conditions In the process they learn to think about pathophysiology in the same way practioners do in a clinical setting-by working from symptoms to the cause rather than the other way around The 3rd Edition features much that is new including a new chapter on mental illnesses new case studies in every chapter & a wide range of new clinically-focused features Updated Clinical models provide real-world examples of how pathophysiological concepts manifest themselves in the human body to help prepare students for practice New Just-in-time review sections refer students to online student resources & remediation to refresh their understanding of prerequisite A&P & Microbiology material New chapter-ending Case Studies (2-4 in every chapter) & related questions help students build critical thinking skills as they apply chapter material to real-world clinical scenarios New! Pathology Up Close features provide more detailed coverage of the cellular & tissue changes that accompany disease New! Clinical Practice features show students how they will apply what they are learning in real-world practice A new Chapter 11 on altered mood attention & behavior disorders prepares students for the mental illnesses they will encounter in practice Concept maps visually illustrate important interrelationships of key concepts making it easy for students to visualize how things fit together End-of-chapter learning tools include summaries practice exam questions & links to general web resources & chapter references From the Lab boxes help students understand common laboratory procedures & results Stop & Consider prompts challenge students to think beyond the information presented in the textbook Discussion & Application sections in every chapter help students gauge their understanding of what they've studied New! Links to online student resources are called out as appropriate to provide additional practice & review Full-color figures & illustrations throughout the book clarify important concepts An integrative case study at the end of the book helps students apply the complex pathophysiologic concepts they've learned to a common condition-diabetes mellitus ...

Applied Predictive Modeling covers the overall predictive modeling process beginning with the crucial steps of data preprocessing data splitting & foundations of model tuning The text then provides intuitive explanations of numerous common & modern regression & classification techniques always with an emphasis on illustrating & solving real data problems The text illustrates all parts of the modeling process through many hands-on real-life examples & every chapter contains extensive R code for each step of the process This multi-purpose text can be used as an introduction to predictive models & the overall modeling process a practitioner's reference handbook or as a text for advanced undergraduate or graduate level predictive modeling courses To that end each chapter contains problem sets to help solidify the covered concepts & uses data available in the book's R package This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise Readers should have knowledge of basic statistical ideas such as correlation & linear regression analysis While the text is biased against complex equations a mathematical background is needed for advanced topics ...

This volume demonstrates how readers can become more effective parents teachers students coaches managers or work supervisors while also gaining practical skills to enhance their self-motivation communication skills & intervention acumen The first eight chapters explain evidence-based principles from applied behavioral science (ABS) that can be used to improve the human dynamics of any situation involving behavior Fundamentals from humanism are integrated strategically to show how an ABS intervention can be more acceptable influential & sustainable The following twelve chapters detail the deployment of ABS interventions to optimize performance in a wide variety of fields including occupational & transportation safety quantity & quality of organizational work behavior healthcare athletic coaching parenting pre-school & college education environmental sustainability & the control of obesity & alcohol abuse Applied Psychology provides a thorough review of the latest research in relation to these domains & explores issues for future investigation ...

This bestseller will help you learn regression-analysis methods that you can apply to real-life problems It highlights the role of the computer in contemporary statistics with numerous printouts & exercises that you can solve using the computer The authors continue to emphasize model development the intuitive logic & assumptions that underlie the techniques covered the purposes advantages & disadvantages of the techniques & valid interpretations of those techniques Available with Info Trac (R) Student Collections httpgocengagecominfotrac ...

Applied Survival Analysis Using R covers the main principles of survival analysis gives examples of how it is applied & teaches how to put those principles to use to analyze data using R as a vehicle Survival data where the primary outcome is time to a specific event arise in many areas of biomedical research including clinical trials epidemiological studies & studies of animals Many survival methods are extensions of techniques used in linear regression & categorical data while other aspects of this field are unique to survival data This text employs numerous actual examples to illustrate survival curve estimation comparison of survivals of different groups proper accounting for censoring & truncation model variable selection & residual analysis Because explaining survival analysis requires more advanced mathematics than many other statistical topics this book is organized with basic concepts & most frequently used procedures covered in earlier chapters with more advanced topics near the end & in the appendices A background in basic linear regression & categorical data analysis as well as a basic knowledge of calculus & the R system will help the reader to fully appreciate the information presented Examples are simple & straightforward while still illustrating key points shedding light on the application of survival analysis in a way that is useful for graduate students researchers & practitioners in biostatistics ...

This practical book presents a data scientist's approach to building language-aware products with applied machine learning 350 pages Bengfort Benjamin ...

Provides a comprehensive overview of theories & frames of reference in occupational therapy The origins of each frame is included as well as their objectives function-dysfunction continuum & views of change & motivation The text also

Includes:: practical guidelines to assist with evaluation & treatment planning 336 pages illustrations Tufano Rosanna

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With engaging commentary pivotal readings & thought-provoking cases this book introduces students to the field of ethics through an exploration of ethical dilemmas 576 pages Barry Vincent ...

Because principles of nursing process are the building blocks for all care models the nursing process is the first model nurses need to learn to "think like a nurse" This trusted resource provides the practical guidance needed to understand & apply each phase of the nursing process with an increased emphasis on developing both critical thinking & clinical reasoning skills With an easy-to-follow & engaging writing style the author provides strategies tools & abundant examples to help nurses develop the skills they need to thrive in today's complex health care setting ...