Thema Wahrscheinlichkeitsrechnung und Statistik – alle Bücher, Seite 5

Albert C. J. Luo
Two-dimensional Product-cubic Systems, Vol.II

This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flows in product quadratic and cubic systems. The author explains how, in the networks, …

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John H. Maindonald, W. John Braun, Jeffrey L. Andrews
A Practical Guide to Data Analysis Using R

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on th…

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Sarit Maitra
Non-Linearity in Econometric Modeling, Vol. 1

Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces layers of complexity that demand careful attention. This textbook offers a comprehensi…

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Sarit Maitra
Non-Linearity in Econometric Modeling, Vol. 2

Dynamic Modeling and Econometrics in Economics and Finance - Band 34

Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention. This second…

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Reiner Marchthaler, Sebastian Dingler
Kalman Filter

This textbook presents the theory of Kalman filtering in an easy-to-understand way. The authors provide an introduction to Kalman filters and their application in embedded systems. In addition, the design…

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Nicolas Marie
From Nonparametric Regression to Statistical Inference for Non-Ergodic Diffusion Processes

Frontiers in Probability and the Statistical Sciences

This book is about copies-based nonparametric estimation of the drift function in stochastic differential equations (SDEs) driven by Brownian motion, a jump process, or fractional Brownian motion. While t…

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Enzo Marinari, Giorgio Parisi, Luca Leuzzi
Probability Theory for Quantitative Scientists

Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessib…

lieferbar in mind. 4 Wochen

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Nicolas de Almeida Martins, Nicolas Nisse, Rudini M. Sampaio, Samuel Nascimento de Araujo
Theory of Combinatorial Games in Graphs

Springer Undergraduate Texts in Mathematics and Technology

This book offers a comprehensive introduction to the field of combinatorial games, with a contemporary focus on games played on graphs. It provides a clear, structured tour of the major classes of combina…

lieferbar ab 11.7.2026.

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Wolfgang Matschke, Marc Möllers, Eberhard Endres
STARK Mathematik VERA 8 - Prüfungsvorbereitung

Zentrale Tests und Prüfungen

Mathematik 8. Klasse - VERA 8 - PrüfungsvorbereitungDas passende Buch zur gezielten Vorbereitung auf die VERA-8-Prüfung (bundesweit zentral gestellte Vergleichsarbeiten der 8. Klasse) im Fach Mathematik f…

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Ulrich Matter
An Introduction to Web Mining

Use R!

This book is devoted to the art and science of web mining --- showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching gradu…

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Matteo Mazziotta, Adriano Pareto
Statistics for Composite Indicators

SxI - Springer for Innovation / SxI - Springer per l'Innovazione - Band 18

This book provides a systematic and integrated approach to construct measures of complex and multidimensional concepts called composite indicators. One of the most pressing needs of scientists and policy …

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Daniel P. McGibney
Applied Linear Regression for Business Analytics with Python

International Series in Operations Research & Management Science

This textbook provides a practical, business-focused introduction to regression analysis using Python. It equips readers with the intuition, coding skills, and statistical tools needed to transform raw da…

lieferbar ab 18.7.2026.

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Carlos Mejía-Monasterio, Lamberto Rondoni
Nonequilibrium Statistical Mechanics I

Theoretical and Mathematical Physics

This textbook offers a clear, unified introduction to nonequilibrium statistical mechanics. It combines the classical foundations of equilibrium and nonequilibrium thermodynamics with the field's latest a…

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Sylvie Méléard
Random Models in Biology, Ecology and Evolution

Texts in Applied Mathematics - Band 87

This book defines and develops probabilistic tools for modeling populations, describing the dynamics of biological quantities such as population size, allele proportions, and individual locations. Beginni…

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Francesco Menoncin
Portfolio Management in Continuous Time

This textbook covers essential topics in quantitative finance, including stochastic calculus, portfolio optimization (static and dynamic), and risk-neutral pricing. Combining financial theory with real-wo…

lieferbar ab 6.7.2026.

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Sean Meyn
Control Systems and Reinforcement Learning

"A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of "deep" or "Q", or why the code sometimes fails. This book …

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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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Thomas Mikosch, Olivier Wintenberger
Extreme Value Theory for Time Series

Springer Series in Operations Research and Financial Engineering

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails. These include the classical ARMA models with heavy-tailed noise and financial…

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Andy Mitchell, Lauren Scott Griffin
The ESRI Guide to GIS Analysis, Volume 2

See why you don't need to understand complex mathematical theories to apply statistical tools in your GIS projects in The Esri Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics.

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Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Bayesian Machine Learning in Quantitative Finance

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative fi…

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