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ENGLISH

Elements Of Network Science - Theory, Methods And Applications In Stata, R And Python

by Antonio Zinilli

~~135,18€~~ 94,63€ 30% OFF

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 This book provides readers with a comprehensive guide to designing rigorous and effective network science tools using the statistical software platforms Stata, R, and Python. Network science offers a means to understand and analyze complex systems that involve various types of relationships.
ENGLISH

Elements Of Network Science - Theory, Methods And Applications In Stata, R And Python

by Antonio Zinilli

~~131,84€~~ 118,66€ 10% OFF

 This book provides readers with a comprehensive guide to designing rigorous and effective network science tools using the statistical software platforms Stata, R, and Python. Network science offers a means to understand and analyze complex systems that involve various types of relationships.
ENGLISH

First Course In Statistical Learning - With Data Examples And Python Code

by Johannes Lederer

~~105,34€~~ 94,81€ 10% OFF

 This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from beginning to end for a profound yet practical introduction to statistical learning.The book consists of three parts: The first one presents data in the framework of probability theory, exploratory data analysis, and unsupervised learning. The second part on inferential data analysis covers linear and logistic regression and regularization. The last part studies machine learning with a focus on support-vector machines and deep learning. Each chapter is based on a dataset, which can be downloaded from the book''s homepage.In addition, the book has the following features:<ul><li>A careful selection of topics ensures rapid progress.</li><li>An opening question at the beginning of each chapter leads the reader through the topic.</li><li>Expositions are rigorous yet based on elementary mathematics.</li><li>More than two hundred exercises help digest the material.</li><li>A crisp discussion section at the end of each chapter summarizes the key concepts and highlights practical implications.</li><li>Numerous suggestions for further reading guide the reader in finding additional information.</li></ul>This book is for everyone who wants to understand and apply concepts and methods of statistical learning. Typical readers are graduate and advanced undergraduate students in data-intensive fields such as computer science, biology, psychology, business, and engineering, and graduates preparing for their job interviews.
ENGLISH

Applied Statistical Learning - With Case Studies In Stata

by Matthias Schonlau

~~75,69€~~ 52,98€ 30% OFF

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 This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.
ENGLISH

Applied Time Series Analysis And Forecasting With Python

by Alla Petukhina e Changquan Huang

~~71,64€~~ 50,15€ 30% OFF

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 This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems.
ENGLISH

Visualization And Imputation Of Missing Values - With Applications In R

by Matthias Templ

~~185,49€~~ 166,94€ 10% OFF

 This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, including modern methods of robust imputation, imputation based on deep learning and imputation for complex data. By describing the advantages, disadvantages and pitfalls of each method, the book presents a clear picture of which imputation methods are applicable given a specific data set at hand.The material covered includes the pre-analysis of data, visualization of missing values in incomplete data, single and multiple imputation, deductive imputation and outlier replacement, model-based methods including methods based on robust estimates, non-linear methods such as tree-based and deep learning methods, imputation of compositional data, imputation quality evaluation from visual diagnostics to precision measures, coverage rates and prediction performance and a description of different model- and design-based simulation designs for the evaluation. The book also features a topic-focused introduction to R and R code is provided in each chapter to explain the practical application of the described methodology. Addressed to researchers, practitioners and students who work with incomplete data, the book offers an introduction to the subject as well as a discussion of recent developments in the field. It is suitable for beginners to the topic and advanced readers alike.
ENGLISH

Fundamentals Of Supervised Machine Learning - With Applications In Python, R, And Stata

by Giovanni Cerulli

~~99,36€~~ 89,42€ 10% OFF

 This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of machine learning methods over different software platforms.After introducing the machine learning basics, the focus turns to a broad spectrum of topics: model selection and regularization, discriminant analysis, nearest neighbors, support vector machines, tree modeling, artificial neural networks, deep learning, and sentiment analysis. Each chapter is self-contained and comprises an initial theoretical part, where the basics of the methodologies are explained, followed by an applicative part, where the methods are applied to real-world datasets. Numerous examples are included and, for ease of reproducibility, the Python, R, and Stata codes used in the text, along with the related datasets, are available online.The intended audience is PhD students, researchers and practitioners from various disciplines, including economics and other social sciences, medicine and epidemiology, who have a good understanding of basic statistics and a working knowledge of statistical software, and who want to apply machine learning methods in their work.
ENGLISH

Applied Statistical Learning - With Case Studies In Stata

by Matthias Schonlau

99,36€ + 10% CARD

 This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.
ENGLISH

Applied Statistical Learning - With Case Studies In Stata

by Matthias Schonlau

~~106,80€~~ 74,76€ 30% OFF

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 This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.
ENGLISH

The Philosophical Novel As A Literary Genre

by Michael H. Mitias

~~135,18€~~ 94,63€ 30% OFF

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 This book examines the conceptual, existential, and logical conditions under which the philosophical novel can be treated as a literary genre on a par with generally recognized literary genres, such as mystery, romantic, adventure, religious, or historical novel.
ENGLISH

Applied Time Series Analysis And Forecasting With Python

by Alla Petukhina e Changquan Huang

~~98,02€~~ 68,61€ 30% OFF

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 This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems.
ENGLISH

Cancel Culture - A Critical Analysis

by Eve Ng

~~54,06€~~ 37,84€ 30% OFF

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 Moving beyond popular press accounts about the latest targets of cancelling or familiar free speech debates, this analysis identifies multiple lineages for both cancelling and criticisms about cancelling, underscoring the various configurations of power associated with â€œcancel cultureâ€ in particular cultural and political contexts.
ENGLISH

Introduction To Statistics With Python - With Applications In The Life Sciences

by Thomas Haslwanter

105,34€ + 10% CARD

 Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis.
ENGLISH

Applied Time Series Analysis And Forecasting With Python

by Alla Petukhina e Changquan Huang

92,74€ + 10% CARD

 This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems.
ENGLISH

Linear Time Series With Matlab And Octave

by Victor Gomez

~~89,21€~~ 62,45€ 30% OFF

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 This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples.
ENGLISH

R For Sas And Spss Users

by Robert A. Muenchen

71,54€ + 10% CARD

 R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions.
ENGLISH

Linear Time Series With Matlab And Octave

by Victor Gomez

118,59€ + 10% CARD

 This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples.
ENGLISH

Independent Random Sampling Methods

by David Luengo, Joaquin Miguez e Luca Martino

~~124,37€~~ 87,06€ 30% OFF

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 This book systematically addresses the design and analysis of efficient techniques for independent random sampling.
ENGLISH

Modern Applied Statistics With S-Plus

by B.D. Ripley e W.N. Venables

84,79€ + 10% CARD

 S-Plus is a powerful environment for statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-Plus to perform statistical analyses and provides both an introduction to the use of S-Plus and a course in modern statistical methods. The aim of the book is to show how to use S-Plus as a powerful and graphical system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for would-be users of S-Plus, and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets.
ENGLISH

Lateral Access Minimally Invasive Spine Surgery

~~121,66€~~ 85,16€ 30% OFF

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 This well-illustrated textbook is the first comprehensive and authoritative source of information on minimally invasive lateral access spine surgery.
ENGLISH

Independent Random Sampling Methods

by David Luengo, Joaquin Miguez e Luca Martino

158,34€ + 10% CARD

 This book systematically addresses the design and analysis of efficient techniques for independent random sampling.
ENGLISH

Computational Biomechanics For Medicine - Imaging, Modeling And Computing

~~175,73€~~ 123,01€ 30% OFF

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 The Computational Biomechanics for Medicine titles provide an opportunity for specialists in computational biomechanics to present their latest methodologies and advancements.
ENGLISH

An Introduction To Statistics With Python - With Applications In The Life Sciences

by Thomas Haslwanter

~~60,82€~~ 42,57€ 30% OFF

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 This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics.
ENGLISH

Applied Quantitative Finance

72,86€ + 10% CARD

 This text explores developments and solutions for many practical problems confronting quantitative methods in financial research and industry. It is a synthesis of scientific contributions on practical implementation and theoretical concepts.
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