Statistical Methods – alle Bücher und CDs, Seite 3

Anders Malthe-Sørenssen
Percolation Theory Using Python

This course-based open access textbook delves into percolation theory, examining the physical properties of random mediämaterials characterized by varying sizes of holes and pores. The focus is on both th…

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Michael Hagmann, Stefan Riezler
Validity, Reliability, and Significance

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliabilit…

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Coarse Graining Turbulence

"We live in a turbulent world observed through coarse grained lenses. Coarse graining (CG), however, is not only a limit but also a need imposed by the enormous amount of data produced by modern simu…

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Linguistic Resources for Natural Language Processing

Empirical - data-driven, neural network-based, probabilistic, and statistical - methods seem to be the modern trend. Recently, OpenAI's ChatGPT, Google's Bard and Microsoft's Sydney chatbots have been gar…

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For the Love of Social Psychology

For the Love of Social Psychology: Theories and Theorists of Human Behavior examines the most exciting and important contributions to the study of human nature in the 20th and early 21st centuries. Focusi…

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Advances in Neural Data Science

This proceeding volume will contain a collection of peer-reviewed articles arising from the Data Research Camp 2022. The workshop took place on July 12-15, 2022, at the Venice International University, in…

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Kazumitsu Ito
Basho's Linked Verse

This book was the culmination of over 10 years of dedicated effort. Especially, it presents a comprehensive translation of Basho's linked verse, encompassing 576 poems across 16 volumes, along with the re…

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Brett Kennedy
Outlier Detection in Python

From the back cover:Outlier Detection in Python is a comprehensive guide to the statistical methods, machine learning, and deep learning approaches you can use to detect outliers in different types of dat…

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Barbara Ryden
Celestial and Stellar Dynamics

"This textbook is part of a series based on the curriculum for astronomy graduate students at The Ohio State University (OSU). In this curriculum, first-year graduate students take a five credit-hour…

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New Frontiers in Textual Data Analysis

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then …

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Scott A. Pardo
Beyond the T-Test

This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It …

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Non-commutative and Non-associative Algebra and Analysis Structures

The goal of the 2019 conference on Stochastic Processes and Algebraic Structures held in SPAS2019, Västerås, Sweden, from September 30th to October 2nd 2019 was to showcase the frontiers of research in se…

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Time Series and Wavelet Analysis

Prof. Pedro A. Morettin is a Distinguished Professor of Statistics at the Institute of Mathematics and Statistics of the University of São Paulo (IME-USP), where he has built an academic career spanning a…

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Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis

The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control.…

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Franz Kronthaler
Statistics Applied with the R Commander

This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly. Both are (not) an art!The statistical methods are presented and…

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Kazumitsu Ito
Statistical Data Analysis of Japanese Literature

While working as a full-time doctor at a hospital in the suburbs of Iwata City, Shizuoka Prefecture, Japan, I have been studying Japanese literature. This book was the culmination of over 10 years of dedi…

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Matthias Schonlau
Applied Statistical Learning

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical lea…

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Nikolai N. Kalikin, Yury A. Budkov
Statistical Field Theory of Ion-Molecular Fluids

This book presents statistical physics methods based on self-consistent field theory for describing the thermodynamic properties of ion-molecular systems, including electrolyte solutions, ionic liquids, p…

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Emmanuel Moulin, Alessandro Montanari
Searching for Dark Matter with Imaging Atmospheric Cherenkov Telescopes

This book provides a comprehensive review of the methodologies and searches for dark matter (DM) annihilation signals using very-high-energy gamma rays (VHE, E > 100 GeV), utilizing data from current I…

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Gary Sutton
Statistics Every Programmer Needs

Put statistics into practice with Python!Data-driven decisions rely on statistics. Statistics Every Programmer Needs introduces the statistical and quantitative methods that will help you go beyond "…

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