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This book demonstrates the contribution that statistics can and should make to linguistic studies. The range of work to which statistical analysis is applicable is vast: including, for example, language acquisition, language variation and many aspects of applied linguistics. The authors give a wide variety of linguistic examples to demonstrate the use of statistics in summarising data in the most appropriate way, and then making helpful inferences from the processed information. The range of techniques introduced by the book will help the reader both to evaluate and make use of literature which employs statistical analysis, and to apply statistics in their own research. Each chapter gives step-by-step explanations of particular techniques using examples from a number of fields, and is followed by extensive exercises. The early part of the book provides a thorough grounding in probability and statistical inference, and then progresses through methods such as chi-squared and analysis of variance, to multivariate methods such as cluster analysis, principal components analysis and factor analysis. None of these techniques requires the reader to have a grasp of mathematics more complex than simple algebra. Students and researchers in many fields of linguistics will find this book an invaluable introduction to the use of statistics, and a practical text for the development of skills in the application of statistics.
Linguistics --- Statistical methods --- Statistische linguïstiek --- statistische methoden --- Statistische linguïstiek. --- statistische methoden. --- -Linguistic science --- Science of language --- Language and languages --- Linguistics, Statistical --- Statistical linguistics --- Mathematical linguistics --- Mathematical statistics --- Statistical methods. --- Linguïstiek --- Linguistique --- Méthodes statistiques --- Statistische methoden. --- Arts and Humanities --- Language & Linguistics --- Linguistics - Statistical methods. --- Linguistics - Statistical methods
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Chemometrics --- Statistical methods --- 543.08 --- analytische chemie (scheikunde) --- mathematische methoden --- methodes --- statistische methoden --- meetapparatuur --- Chemistry, Analytic --- Chemistry --- Mathematics --- Measurement --- Analytical chemistry --- Chemometrics - Statistical methods
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Quantitative methods in social research --- Mathematical statistics --- #SBIB:303H522 --- 311 --- 311 Statistische methoden --- Statistische methoden --- Methoden sociale wetenschappen: handboeken statistische analyse --- Historische en vergelijkende pedagogiek. --- Methoden en technieken --- Statistiek. --- sociale wetenschappen --- statistiek --- Social sciences --- Multivariate analysis --- Research --- Analyse multivariée --- Sciences sociales --- Recherche --- 519.237 --- 519.237 Multivariate statistical methods --- Multivariate statistical methods --- Social sciences - Research
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This book is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or no statistical background and is written in a non-technical and reader-friendly/accessible style. It first introduces in detail the overall logic underlying quantitative studies: exploration, hypothesis formulation and operationalization, and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies, averages, and correlations are generated with R and how they are graphically represented best. A chapter on analytical statistics explains how statistical tests are performed in R on the basis of many different linguistic case studies: For nearly every single example, it is explained what the structure of the test looks like, how hypotheses are formulated, explored, and tested for statistical significance, how the results are graphically represented, and how one would summarize them in a paper/article. A chapter on selected multifactorial methods introduces how more complex research designs can be studied: methods for the study of multifactorial frequency data, correlations, tests for means, and binary response data are discussed and exemplified step-by-step. Also, the exploratory approach of hierarchical cluster analysis is illustrated in detail. The book comes with many exercises, boxes with short think breaks and warnings, recommendations for further study, and answer keys as well as a statistics for linguists newsgroup on the companion website. The volume is aimed at beginners on every level of linguistic education: undergraduate students, graduate students, and instructors/professors and can be used in any research methods and statistics class for linguists. It presupposes no quantitative/statistical knowledge whatsoever and, unlike most competing books, begins at step 1 for every method and explains everything explicitly.
Programming --- Mathematical linguistics --- Mathematical statistics --- Linguistics --- R (Computer program language) --- Linguistique --- R (Langage de programmation) --- Statistical methods --- Méthodes statistiques --- Computational linguistics. --- Computational logistics. --- Linguistics -- Statistical methods. --- R (Computer program language). --- Languages & Literatures --- Philology & Linguistics --- #KVHA:Methodologie --- #KVHA:Statistiek --- #KVHA:Taalkunde --- Computerlinguïstiek --- Linguïstiek --- R (programmeertaal) --- Statistical methods. --- statistische methoden --- Computerlinguïstiek. --- R (programmeertaal). --- statistische methoden. --- Méthodes statistiques --- GNU-S (Computer program language) --- Language and languages --- Linguistics, Statistical --- Statistical linguistics --- Domain-specific programming languages --- Linguistics - Statistical methods --- Corpus Linguistics. --- Linguistic Data. --- Statistic Analysis.
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Public finance --- 33 EU --- Economie. Economische wetenschappen. Staatshuishoudkunde --(algemeen)--EU --- Pensioenen. Bedrijfspensioen --- 331.25 Pensioenen. Bedrijfspensioen --- 33 EU Economie. Economische wetenschappen. Staatshuishoudkunde --(algemeen)--EU --- 311 --- 331.25 --- 311 Statistische methoden --- Statistische methoden --- Older people --- Social policy --- Longevity --- Human services --- Government policy --- Forecasting --- Finance --- Older people - Government policy - European Union countries - Forecasting --- Social policy - European Union countries - Forecasting --- Longevity - European Union countries - Forecasting - Statistics --- Human services - European Union countries - Finance - Forecasting
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Art --- Archeology --- Archaeometry --- Archaeology --- Archéométrie --- Archéologie --- Periodicals --- Expertising --- Périodiques --- Expertise --- Arts and Humanities. --- General and Others. --- Archeologie. --- Meetmethoden. --- Statistische methoden. --- Archéométrie --- Archéologie --- Arts and Humanities --- General and Others --- Social Sciences --- Périodiques --- EBSCOASP-E EJARCHE EJART EJHISTO EPUB-ALPHA-A EPUB-PER-FT WILEY-E --- Anthropology --- Auxiliary sciences of history --- History --- Antiquities --- Methodology --- Periodicals. --- Archaeometry - Periodicals. --- Archaeology - Expertising - Periodicals
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Biologie -- Méthodes statistiques --- Biologie -- Statistische methoden --- Biologie quantitative --- Biology -- Statistical methods --- Biometrics (Biology) --- Biometrie --- Biometry --- Biométrie --- Biostatistics --- Biostatistique --- Statistique biologique --- Biological techniques --- Biologie --- Traitement d'images --- Digital techniques. --- Techniques numériques --- Digital techniques --- Biometry. --- Statistical methods. --- Techniques numériques --- Artificial intelligence. Robotics. Simulation. Graphics --- Image processing --- Biology --- Statistical methods --- Data processing --- Data processing. --- Informatique --- beeldanalyse --- Image processing - Digital techniques --- Biology - Statistical methods --- Image processing - Statistical methods --- Biology - Data processing
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Bewijsgebaseerde geneeskunde --- Biologie -- Méthodes statistiques --- Biologie -- Statistische methoden --- Biologie quantitative --- Biology -- Statistical methods --- Biometrics (Biology) --- Biometrie --- Biometry --- Biométrie --- Biostatistics --- Biostatistique --- Diagnose --- Diagnosis --- Diagnostic --- EBM (Medicine) --- Evidence-based healthcare --- Evidence-based medicine --- Evidenzbasierte Medizin --- Examinations [Medical ] --- Geneeskunde op basis van bewijs --- Medical diagnosis --- Medical examinations (Diagnosis) --- Medicina basada en la evidencia --- Medicina basata su prove di efficacia --- Médecine basée sur des preuves --- Médecine basée sur la preuve --- Médecine basée sur le niveau de preuve --- Médecine basée sur les preuves --- Médecine factuelle --- Médecine fondée sur des preuves --- Médecine fondée sur les données probantes --- Médecine fondée sur les faits --- Statistique biologique
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Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
#KVHA:Taalkunde --- #KVHA:Statistical analysis --- #KVHA:Statistiek --- Computational linguistics --- Linguistics --- Mathematical linguistics --- R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages --- Algebraic linguistics --- Language and languages --- Linguistics, Mathematical --- Applied linguistics --- Information theory --- Linguistics, Statistical --- Statistical linguistics --- Automatic language processing --- Language data processing --- Natural language processing (Linguistics) --- Cross-language information retrieval --- Multilingual computing --- Statistical methods --- Mathematical models --- Data processing --- Programming --- Mathematical statistics --- Computational linguistics. --- Linguïstiek. --- Linguïstiek. --- Mathematical linguistics. --- R (Computer program language). --- R (computerprogramma). --- Statistische methoden. --- Statistical methods. --- Computerlinguïstiek. --- Linguïstiek --- Mathematische linguïstiek. --- R (programmeertaal). --- statistische methodes. --- R (computerprogramma) --- Statistische methodes. --- Linguistics - Statistical methods --- Linguistique mathématique --- R (computer program language) --- Linguistique --- Linguistique computationnelle --- Méthodes statistiques --- Arts and Humanities --- Language & Linguistics
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