Thema Wahrscheinlichkeitsrechnung und Statistik – alle Bücher, Seite 6

Angelica Lo Duca
Become a Great Data Storyteller

IMBUE YOUR DATA WITH COMPELLING NARRATIVES THAT LEAD TO ACTIONIn Become a Great Data Storyteller: Learn How You Can Drive Change with Data, author Angelica Lo Duca unveils the art of transforming raw data…

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Pawe¿ Lorek, Tomasz Rolski
Lectures on Monte Carlo Theory

Chapter 1. Introduction.- Chapter 2. The theory of generators.- Chapter 3. Generating random variables.- Chapter 4. Simulation Output Analysis: Independent Replications.- Chapter 5. Variance Reduction Tec…

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Junwei Lu
Big Data Analysis

Part I Foundations of Big Data Analysis.- Chapter 1 Introduction.- Chapter 2 Preliminaries in Probability.- Chapter 3 Preliminaries in Linear Algebra.- Part II High-Dimensional Probability.- Chapter 4 Con…

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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
A Practical Guide to Static and Dynamic Econometric Modelling

This book provides a comprehensive guide to econometric modeling, combining theory with practical implementation using Python. It covers key econometric concepts, from data collection and model specificat…

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

Dynamic Modeling and Econometrics in Economics and Finance - Band 33

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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Reiner Marchthaler, Sebastian Dingler
Kalman-Filter

Einführendes Beispiel.- Zustandsraumbeschreibung.- Wahrscheinlichkeitstheorie.- Signaltheorie.- Klassisches Kalman-Filter.- Adaptiver Kalman-Filter (ROSE-Filter).- Nichtlineare Kalman Filter.- Systemrausc…

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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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Matteo Mazziotta, Adriano Pareto
Statistics for Composite Indicators

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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Carlos Mejía-Monasterio, Lamberto Rondoni
Nonequilibrium Statistical Mechanics I

Introduction.- 2. Hydrodynamics and nonequilibrium thermodynamics.- 3. The Brownian motion and its legacy.- 4. Energy equipartition, virial theorem and Boyle's law.- 5. Probabilities in phase space.- 6. L…

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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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Valérie Mignon
Principles of Econometrics

This textbook teaches the basics of econometrics and focuses on the acquisition of methods and skills that are essential for any student to succeed in their studies, as well as for any practitioner intere…

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Thomas Mikosch, Olivier Wintenberger
Extreme Value Theory for Time Series

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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Jolanta Misiewicz
A One-Semester Course on Probability

This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor…

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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

1 Introduction To Bayesian Machine Learning In Quantitative Finance.- 2 Background To Bayesian Machine Learning In Quantitative Finance.- 3 On the Stochastic Alpha Beta Rho Model and Hamiltonian Monte Car…

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Byron J. T. Morgan, Emily B. Dennis, Stephen T. Buckland
Statistical Models for Wildlife Survey Data

This book describes a range of models for ecological data sets using both classical and Bayesian methods of inference, and illustrates their use through a varied set of real examples. These examples exhib…

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Michael Mühlenberg, Thomas Waßmer
Field Ecology

This book is a theoretical and practical guide to ecological work in the field, focusing on concepts, issues, and practical applications in animal ecology. By highlighting examples, it provides students, …

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