Statistical Methods – alle Bücher und CDs, Seite 2

Wolfgang Wiedermann, Alexander Von Eye
Direction Dependence Analysis

"Discover the groundbreaking Direction Dependence Analysis (DDA), a powerful statistical method that enhances traditional regression and structural modeling by evaluating causal direction between var…

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Chicago

„Now“ (Chicago XXXVI) (Digipack)

Chicago haben ihre Aufnahme-Methode neu angepasst. Das als „The Rig“ bezeichnete Verfahren ist flexibel, kraftvoll, mobil, und immer unterwegs mit der Band. „NOW“ wurde in zahlreichen Locations aufgeführt…

CD

M Tan
Evaluating Synergy: Statistical Design and Analysi s of Drug Combination Studies

Containing the historical and statistical information necessary to choose an analysis method and successful drug combination, Evaluating Synergy provides a systematic introduction of statistical methods f…

lieferbar ab 29.10.2026.

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Information Technology for Management: Intelligent Alignment of IT with Business and Society

.- Enterprises Using Organizational Capabilities. .- Real Options Analysis Framework for Comparing Project Configurations. .- ERP System Implementation Projects: An Update on Critical Success. .- Implemen…

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Yannis Haralambous
A Course in Natural Language Processing

Preface.- 1. Introduction.- Part I. Linguistics.- 2. Phonetics/Phonology.- 3. Graphetics/Graphemics.- 4. Morphemes, Words, Terms.- 5. Syntax.- 6. Semantics (and Pragmatics).- 7. Controlled Natural Languag…

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Thomas Cleff
Applied Statistics and Multivariate Data Analysis for Business and Economics

This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing…

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Valerii V. Fedorov, Peter Hackl
Model-Oriented Design of Experiments

This book presents the basic ideas of statistical methods in the design of optimal experiments. This new edition now includes sections on design techniques based on the elemental Fisher information matric…

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Jakub Tomek
Basic Statistics for Life Scientists

Concise and approachable yet rigorous discussion of the appropriate use of statistical techniques in life science researchBasic Statistics for Life Scientists is an approachable, concise handbook of essen…

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Foundations and Advances of Machine Learning in Official Statistics

Society, Environment and Statistics

This Open access book gives an overview of current research and developments on the incorporation of machine learning in official statistics. It covers methodological questions, practical aspects and cros…

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Advances in Neurophilosophy

Bringing together recent case studies and insights into current developments, this collection introduces philosophers to a range of experimental methods from neuroscience. Chapters provide a comprehensive…

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Westland J Christopher
Bayesian A/B Decision Models

Bayesian A/B Decision Models encapsulates J Christopher Westland's deep expertise in algorithmic decision-making, honed through years of experience in specialized fields like auditing and serving as an ex…

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Marcos M López de Prado
Machine Learning for Asset Managers

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should conce…

lieferbar ab 31.1.2026.

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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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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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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 simulation…

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Andres Fortino
Data Analysis for Business Decisions

In today's data-driven world, the ability to analyze and interpret data is no longer optional-it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to…

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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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Tancredo Souza
Advanced Statistical Analysis for Soil Scientists

In the evolving field of soil science, advanced statistical analysis has become essential for understanding complex soil processes. Handbook of Advanced Statistical Analysis Applied offers a comprehensive…

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