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Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexibly applying techniques relevant to their own research — they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language R is used throughout). Since the code presented in the text almost always requires the use of previously introduced programming constructs, diligent students also acquire basic programming abilities in R. The book is intended for advanced undergraduate and graduate students in any discipline, although the focus is on linguistics, psychology, and cognitive science. It is designed for self-instruction, but it can also be used as a textbook for a first course on statistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. ”Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Highly recommended.” Harald Baayen, Professor of Linguistics, University of Alberta, Canada ”By using the text students not only learn to do the specific things outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the book’s coverage.” Colin Phillips, Professor of Linguistics, University of Maryland, USA.
Statistics --- Mathematical statistics. --- Mathematics. --- Data mining. --- Applied mathematics. --- Engineering mathematics. --- Psycholinguistics. --- Mathematics --- Psychology. --- Applications of Mathematics. --- Data Mining and Knowledge Discovery. --- Mathematics Education. --- Psychology, general. --- Study and teaching. --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Philosophy (General). --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Language, Psychology of --- Language and languages --- Psychology of language --- Speech --- Linguistics --- Psychology --- Thought and thinking --- Math --- Science --- Psychological aspects --- Mathematical statistics --- Computer simulation. --- Simulation methods. --- Mathematics—Study and teaching . --- Behavioral sciences --- Mental philosophy --- Mind --- Science, Mental --- Human biology --- Philosophy --- Soul --- Mental health --- Engineering --- Engineering analysis --- Mathematical analysis
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Sentence comprehension - the way we process and understand spoken and written language - is a central and important area of research within psycholinguistics. This book explores the contribution of computational linguistics to the field, showing how computational models of sentence processing can help scientists in their investigation of human cognitive processes. It presents the leading computational model of retrieval processes in sentence processing, the Lewis and Vasishth cue-based retrieval mode, and develops a principled methodology for parameter estimation and model comparison/evaluation using benchmark data, to enable researchers to test their own models of retrieval against the present model. It also provides readers with an overview of the last 20 years of research on the topic of retrieval processes in sentence comprehension, along with source code that allows researchers to extend the model and carry out new research. Comprehensive in its scope, this book is essential reading for researchers in cognitive science.
Grammar, Comparative and general --- Computational linguistics --- Psycholinguistics --- Comparative grammar --- Grammar --- Grammar, Philosophical --- Grammar, Universal --- Language and languages --- Philosophical grammar --- Linguistics --- Philology --- Language, Psychology of --- Psychology of language --- Speech --- Psychology --- Thought and thinking --- Automatic language processing --- Language data processing --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Sentences&delete& --- Psychological aspects --- Grammar, Comparative --- Data processing --- Sentences --- Psycholinguistics. --- Computational linguistics. --- Psychological aspects.
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Psychology --- Didactics of mathematics --- Mathematics --- Information systems --- Psycholinguistics --- toegepaste wiskunde --- psychologie --- didactiek --- psycholinguïstiek --- database management --- wiskunde
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Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexibly applying techniques relevant to their own research they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language R is used throughout). Since the code presented in the text almost always requires the use of previously introduced programming constructs, diligent students also acquire basic programming abilities in R. The book is intended for advanced undergraduate and graduate students in any discipline, although the focus is on linguistics, psychology, and cognitive science. It is designed for self-instruction, but it can also be used as a textbook for a first course on statistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Highly recommended. Harald Baayen, Professor of Linguistics, University of Alberta, Canada By using the text students not only learn to do the specific things outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the book's coverage. Colin Phillips, Professor of Linguistics, University of Maryland, USA
Psychology --- Didactics of mathematics --- Mathematics --- Information systems --- Psycholinguistics --- toegepaste wiskunde --- psychologie --- didactiek --- psycholinguïstiek --- database management --- wiskunde --- Mathematical statistics --- Statistique mathématique --- Simulation methods --- Computer simulation --- Simulation par ordinateur --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B
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The mental representation of language cannot be directly observed but must be inferred and modelled from its effects at second hand. Linguists have traditionally responded to this in two ways, either going for a fairly data-light approach and valuing theoretical creativity, or pursuing just those goals for which data is available and trusting to data-driven descriptive work. More recently, advances in technology and experimental techniques have made data gathering easier and more accessible, so that a theoretically informed but empirically based approach is rapidly growing in popularity. This synthesis permits linguists to combine the intellectual hypothesis generation of the theoreticians with the ability to deliver hard answers of the empiricist. This volume is a collection of papers in this direction, using mostly experiment methods to yield insights into syntactic and semantic structures, language processing, and acquisition. Papers report corpus data, neurological investigations, child language studies, and fieldwork from minority languages.
Linguistics. --- Linguistic analysis (Linguistics) --- Analysis, Linguistic (Linguistics) --- Analysis (Philosophy) --- Grammar, Comparative and general --- Linguistic science --- Science of language --- Language and languages --- Psycholinguistics. --- Semantics. --- Syntax.
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