This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through ...
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ISBN:
(数字)9783319991184
This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example.;In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm.;The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions onhow to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
Recent data shows that 87% of Artificial Intelligence/Big Data projects don’t make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that pre...
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ISBN:
(数字)9783031016851
ISBN:
(纸本)9783031005572
Recent data shows that 87% of Artificial Intelligence/Big Data projects don’t make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections.
This Festschrift in honour of Ursula Gather’s 60th birthday deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for c...
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ISBN:
(数字)9783642354946
ISBN:
(纸本)9783642354939;9783642443862
This Festschrift in honour of Ursula Gather’s 60th birthday deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading experts provide a textbook-style overview of the topic, supplemented by current research results and questions. The statistical theory and methods in this volume aim at the analysis of data which deviate from classical stringent model assumptions, which contain outlying values and/or have a complex structure. Written for researchers as well as master and PhD students with a good knowledge of statistics.
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, *** with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communicati...
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ISBN:
(数字)9783790826043
ISBN:
(纸本)9783790826036
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, *** with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous c...
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ISBN:
(数字)9783540328278
ISBN:
(纸本)9783540328254;9783662500439
Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where “soft models and soft data” were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of “the basic design”. I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear extensions et cetera) but also as regards applications, notably in chemometrics, marketing, and political sciences. The PLS regression oriented methodology became part of main stream statistical analysis, as can be gathered from references and discussions in important books and journals. See e. g. Hastie et al. (2001), or Stone and Brooks (1990),Frank and Friedman (1993),Tenenhauset al. (2005),there are manyothers.
Cet ouvrage expose de manière détaillée l’une des méthodes statistiques les plus courantes : la régression. Après avoir présenté la régression linéaire simple et mult...
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Cet ouvrage expose de manière détaillée l’une des méthodes statistiques les plus courantes : la régression. Après avoir présenté la régression linéaire simple et multiple, il s’attache à expliquer les fondements de la méthode, tant au niveau des choix opérés que des hypothèses et de leur utilité. Ensuite sont développés les outils permettant de vérifier les hypothèses de base mises en œuvre par la régression. Une présentation simple des modèles d'analyse de la covariance et de la variance est effectuée. L’ouvrage présente aussi les choix de modèles et certaines extensions de la régression: lasso, PLS, PCR... La présentation témoigne d'un réel souci pédagogique. Les résultats exposés sont replacés dans la perspective de leur utilité pratique grâce à l'analyse d'exemples concrets. Les commandes permettant le traitement des exemples sous le logiciel R figurent dans le corps du texte.
This monograph presents the work of the authors in metrical theory of continued fractions in the last two decades. The monograph cuts a particular path through this extensive theory and describes the theory in its cur...
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ISBN:
(数字)9783031866340
ISBN:
(纸本)9783031866333
This monograph presents the work of the authors in metrical theory of continued fractions in the last two decades. The monograph cuts a particular path through this extensive theory and describes the theory in its current form for three families of continued fractions, namely,
θ
-continued fractions,
N
-continued fractions, and generalized Rényi continued fractions. The book systematically lays out the required preliminaries, making the book easy to read. This monograph provides a solid introduction into the theory of continued fractions.
The book is intended for researchers in metrical theory, as well as advanced graduate students and mathematicians interested in this field.
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