The Other Side Of The Error Term Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of The Other Side Of The Error Term book. This book definitely worth reading, it is an incredibly well-written.
It has been said more than once in psychology that one person's effect is another person's error term. By minimising and occasionally ignoring individual and group variability cognitive psychology has yieled many fine achievements. However, when investigators are working with special populations, the subjects, and the unique nature of the sample, come into focus and become the goal in itself. For developmental psychologists, gerontologists and psychopathologists, research progresses with an eye on their target populations of study. Yet every good study in any of these domains inevitably has another dimension. Whenever a study is designed to turn a spotlight on a special population, the light is also shed on the mainstream from which the target deviates. This book examines what we can learn about general and universal phenomena in cognition and its brain substrates from examining the odd, the rare, the transient, the exceptional and the abnormal.
Why let other people explain the world to you? From news reporting on elections or unfolding political crises to everyday advertising, you are confronted with statistics. Rather than being swayed by bad arguments and questionable correlations, this book introduces you to the most common and contemporary statistical methods so that you can better understand the world. It′s not about mindless number crunching or flashy techniques but about knowing when to use statistics as the best means to analyse a problem. Whether you want to answer: "Who is most likely to turn out and vote at the next election?" or "What accounts for some political conflicts escalating to war?" you’ll explore what can and can’t be done with statistics, and how to select the most appropriate statistical techniques and correctly interpret the results. Perhaps you simply want to understand enough to pass your statistics class and move on. Maybe you want to build your knowledge so that you are not excluded from research and debate. Or it could be the first step towards more advanced study. Whatever your goal, this book guides you through the journey, empowering you to confidently interact with statistics to make you a more formidable student, employee, and democratic citizen.
Space/Terrestrial Mobile Networks by Ray E. Sheriff,Y. Fun Hu,Giacinto Losquadro,Paolo Conforto,Clementina Tocci Pdf
Space/Terrestrial Mobile Networks Internet Access and QoS Support covers the design of a Global Mobile Broadband System (GMBS) based on the results of the European Commission's Framework Programme 5 Information Society Technologies (IST) Project SUITED. Many of the latest concept in mobility solutions, network design techniques and internet technologies are presented. The SUITED project has addressed a number of technical issues that are very much state-of-the-art. The presentation of such material in the form of a design of a real network provides a unique source of information. This book: Addresses the important topic of heterogeneous networks and the underlying tecyhnologies Describes how to design an integrated satellite/terrestrial infrastructure where all the network components are fully merged together and integrated with the Internet Core network Presents the service scenarios and system requirements of the Global Mobile Broadband System (GMBS) Discusses the necessary QoS support and defines the novel admission control scheme Gauge & Gate Reservation with Independent Probing (GRIP) Covers mobility management including Mobile-IP support and a QoS Support Module (QASM) Describes the functional and network architectures and presents signalling protocols for mobility management in GMBS Presents the design of signalling protocols and their implementation using the Specification and Description Language (SDL) Space/Terrestrial Mobile Networks Internet Access and QoS Support has an accessible and practical approach to the subject and addresses in detail, the important topic of heterogeneous networks and the underlying technologies that make this concept possible.
Cognitive Rehabilitation in Dementia by Linda Clare,Robert T. Woods Pdf
The relevance of cognitive rehabilitation for people with dementia is becoming increasingly accepted by researchers and practitioners in the field. This special issue draws together examples of state-of-the-art research and systematic review by experts in this exciting and growing area. The contributors show how cognitive rehabilitation approaches can be applied, in different ways, to help optimise functioning and address specific difficulties across the full spectrum of severity. While the main focus is on the more commonly diagnosed forms of dementia, treatment possibilities for people with fronto-temporal dementia are also explored. Cognitive rehabilitation interventions need to be grounded in a clear assessment of the profile of strengths and limitations in cognitive functioning, and to demonstrate where possible that treatment effects extend beyond improvement on target measures to have a meaningful impact on wellbeing and quality of life. For this reason, the special issue includes contributions that explore detailed aspects of cognitive functioning or describe new developments in evaluating quality of life in dementia. Cognitive rehabilitation, it is suggested, should be viewed as one important component of a holistic approach to helping people with dementia, their families, and those who care for them. This special issue seeks both to provide information about what has already been achieved and to encourage and stimulate further progress.
Machine Learning Automation with TPOT by Dario Radecic Pdf
Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key FeaturesUnderstand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation functions and structure an artificial neural network.Tune TPOT models to ensure optimum performance on previously unseen data.Book Description The automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods. With this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You'll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you'll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets. By the end of this book, you'll have gained the confidence to implement AutoML techniques in your organization on a production level. What you will learnGet to grips with building automated machine learning modelsBuild classification and regression models with impressive accuracy in a short timeDevelop neural network classifiers with AutoML techniquesCompare AutoML models with traditional, manually developed models on the same datasetsCreate robust, production-ready modelsEvaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-scoreGet hands-on with deployment using Flask-RESTful on localhostWho this book is for Data scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learning. Working knowledge of the Python programming language and beginner-level understanding of machine learning are necessary to get started.
Governance And Financial Performance: Current Trends And Perspectives by Constantin Zopounidis,Christos Lemonakis,Emilios Galariotis,Marios Menexiadis,Alexandros Garefalakis Pdf
This book focuses on corporate governance and proposes a novel framework for combining the Corporate Governance Framework (CGF) with current corporate finance issues arising in the Contemporary Business Environment (CBE) and cointegrating them with today's business needs. It consists of a good collection of state-of-the-art approaches that will be useful for new researchers and practitioners working in this field, helping them to quickly grasp the current state of corporate governance and corporate financial performance.Good corporate governance is not only important for companies, but also for the society. To begin with, good corporate governance strengthens the public's faith and trust in corporate governance. Legislative processes were developed to protect the society from known threats and prevent problems from occurring or recurring. Recent corporate scandals shed light on the impact that corporations have on social responsibility. The new focus on the corporate governance framework increases the responsibility and accountability of companies to their stakeholders and provides a solid framework for enhancing corporate performance.
Straightforward Statistics by Chieh-Chen Bowen Pdf
Straightforward Statistics is written in plain language and connects material in a clear, logical manner to help students across the social and behavioral sciences develop a "big picture" understanding of foundational statistics. Each new chapter is purposefully connected with the previous chapter for a gradual accrual of knowledge from simple to more complex concepts—this effective, cumulative approach to statistics through logical transitions eases students into statistics and prepares them for success in more advanced quantitative coursework and their own research.
Understanding Multivariate Research by William Berry Pdf
Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and Mitchell Sanders's Understanding Multivariate Research fills this gap with a concise introduction to regression analysis and other multivariate techniques. Their book is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods. Berry and Sanders effectively cover the techniques seen most commonly in social science journals--regression (including nonlinear and interactive models), logit, probit, and causal models/path analysis. The authors draw on illustrations from across the social sciences, including political science, sociology, marketing and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference. Readers are assumed to have no background in descriptive or inferential statistics, and this makes the book highly accessible to students with no prior graduate course work.
Advanced Mathematical Methods for Scientists and Engineers I by Carl M. Bender,Steven A. Orszag Pdf
A clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory for obtaining approximate analytical solutions to differential and difference equations. Aimed at teaching the most useful insights in approaching new problems, the text avoids special methods and tricks that only work for particular problems. Intended for graduates and advanced undergraduates, it assumes only a limited familiarity with differential equations and complex variables. The presentation begins with a review of differential and difference equations, then develops local asymptotic methods for such equations, and explains perturbation and summation theory before concluding with an exposition of global asymptotic methods. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach readers how an applied mathematician tackles problems. There are 190 computer-generated plots and tables comparing approximate and exact solutions, over 600 problems of varying levels of difficulty, and an appendix summarizing the properties of special functions.
Straightforward Statistics with Excel by Chieh-Chen Bowen Pdf
Written in an accessible and clear manner, Straightforward Statistics with Excel® 2e by Chieh-Chen Bowen helps students across the social and behavioral sciences gradually build their skills to develop a better understanding of the world around them. Each chapter purposefully connects with the previous chapter for a gradual accrual of knowledge from simple to more complex concepts. This effective, cumulative approach to statistics through logical transitions eases students into statistics and prepares them for success in more advanced quantitative coursework and their own research. The second edition now features Excel instructions and exercises throughout so students can use this widely-available and applied software for statistics. This book is designed to walk the reader through statistics at a steady but gentle pace, providing pop quizzes throughout every chapter so readers can check their knowledge along the way. By gradually stepping up difficulty in each chapter, students generate a solid foundation and are prepared for the next chapters. Straightforward Statistics with Excel looks at the big picture so that the basic statistical concepts connect to everyday and relevant research examples in multiple ways. Throughout the book the reader is reminded of what they need to be able to recall with "You Must Remember This" boxes. A rich source of practical resources are located at the end of chapters beginning with " What You Learned," followed by three sets of exercises so students can immediately apply their knowledge. The new edition features a reorganized presentation of material, starting with measures of central tendency, separating this from measures of variability so students better understand the differences. A more thorough presentation of one-sample and dependent samples t-tests gives students a stronger foundation in these crucial tests in statistics. New examples and studies complete the update, with a focus on simplicity. Throughout, the book makes use of Excel instructions and screenshots so students can take statistics with them through research projects and into the world beyond academia.
Robust Statistics by Ricardo A. Maronna,R. Douglas Martin,Victor J. Yohai,Matías Salibián-Barrera Pdf
A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (with R) presents a broad coverage of the theory of robust statistics that is integrated with computing methods and applications. Updated to include important new research results of the last decade and focus on the use of the popular software package R, it features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series modeling. The book is illustrated throughout by a range of examples and applications that are supported by a companion website featuring data sets and R code that allow the reader to reproduce the examples given in the book. Unlike other books on the market, Robust Statistics: Theory and Methods (with R) offers the most comprehensive, definitive, and up-to-date treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear models; time series; numerical algorithms; and asymptotic theory of M-estimates. Explains both the use and theoretical justification of robust methods Guides readers in selecting and using the most appropriate robust methods for their problems Features computational algorithms for the core methods Robust statistics research results of the last decade included in this 2nd edition include: fast deterministic robust regression, finite-sample robustness, robust regularized regression, robust location and scatter estimation with missing data, robust estimation with independent outliers in variables, and robust mixed linear models. Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is an ideal resource for researchers, practitioners, and graduate students in statistics, engineering, computer science, and physical and social sciences.
The Impacts of Monetary Policy in the 21st Century by Ramesh Chandra Das Pdf
The Impacts of Monetary Policy in the 21st Century illustrates the effect of financial policies upon global economic indicators, with special reference made to issues effecting East Asian nations generally and with a particular focus on Indian economic development since 2000.
Fundamental Principles of Optical Lithography by Chris Mack Pdf
The fabrication of an integrated circuit requires a variety of physical and chemical processes to be performed on a semiconductor substrate. In general, these processes fall into three categories: film deposition, patterning, and semiconductor doping. Films of both conductors and insulators are used to connect and isolate transistors and their components. By creating structures of these various components millions of transistors can be built and wired together to form the complex circuitry of modern microelectronic devices. Fundamental to all of these processes is lithography, ie, the formation of three-dimensional relief images on the substrate for subsequent transfer of the pattern to the substrate. This book presents a complete theoretical and practical treatment of the topic of lithography for both students and researchers. It comprises ten detailed chapters plus three appendices with problems provided at the end of each chapter. Additional Information: Visiting http://www.lithoguru.com/textbook/index.html enhances the reader's understanding as the website supplies information on how you can download a free laboratory manual, Optical Lithography Modelling with MATLAB®, to accompany the textbook. You can also contact the author and find help for instructors.
Research on Investment Scale and Allocation Structure of Chinese Higher Education Finance by Yongmei Hu,Yipeng Tang Pdf
Based on a systematic literature review, the book aims to forecast the investment scale of Chinese higher education and the allocation structure of different types of higher education institutions in the next decade. The authors first introduce the complex setting of Chinese higher education finance, including the background and theoretical foundation, as well as an in-depth literature review. Via international comparative data, they explore the adequacy and equity of the financial resources. By applying quantitative methods, such as panel data analysis and time series analysis, they forecast the public investment scale in higher education and the allocation structure and proportion among different types of higher education institutions. In addition, the book investigates the standards of teaching funding and teacher research funding, which are considered the main funding resources of Chinese universities and individual teachers. As China has become the world’s largest country of higher education, "how to provide adequate and equal funds to meet the increasing demand" is of great interest to scholars and policymakers both from China and abroad. The book will also appeal to postgraduate students who would like to know the overall status of Chinese higher education finance.
