Thema Ökonometrie und Wirtschaftsstatistik – alle Bücher, Seite 2

Annemarie Grund,
Zeit für Wirksamkeit

Ein Appell an Deutschlands UnternehmergeistWir leben in einer Zeit, in der Probleme offensichtlicher denn je sind - und Lösungen dringender gebraucht werden. Gleichzeitig stellen sich immer mehr Menschen …

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Takeaki Kariya, Yoshiro Yamamura
Empirically Effective Government and Corporate Bond Pricing Models

This book presents a comprehensive, innovative, integrated, and empirically effective system for cross-sectionally analyzing prices of government bonds (GBs) and corporate bonds (CBs) to timely obtain pra…

lieferbar innerhalb 2-3 Wochen

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Andrew Leigh,
Die kürzeste Geschichte der Wirtschaft

Dieses Buch erzählt eine große Geschichte, die Jahrtausende alte Geschichte der Wirtschaft. Vom Beginn der landwirtschaftlichen Revolution bis zur Digitalisierung deckt es die verborgenen wirtschaftlichen…

lieferbar ab 4.12.2026.

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Steven D. Levitt, Stephen J. Dubner
Freakonomics Twentieth Anniversary Edition

The legendary bestseller that made millions look at the world in a radically different way returns in a beautiful 20th anniversary edition featuring a new forewordWhich is more dangerous: a gun or a swimm…

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Mikulá¿ Luptá¿ik, Klaus Prettner
Mathematical Optimization and Economic Analysis

Springer Optimization and Its Applications - Band 227

This book offers a comprehensive exploration of mathematical optimization and its critical role in economic analysis. As the scarcity of resources, environmental degradation, and the effects of industrial…

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Sarit Maitra
A Practical Guide to Static and Dynamic Econometric Modelling

Contributions to Economics

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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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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Ilya Molchanov, Johanna Ziegel
Risk Measures

Providing comprehensive yet accessible coverage, this is the first graduate-level textbook dedicated to the mathematical theory of risk measures. It explains how economic and financial principles result i…

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Ilya Molchanov, Johanna Ziegel
Risk Measures

Providing comprehensive yet accessible coverage, this is the first graduate-level textbook dedicated to the mathematical theory of risk measures. It explains how economic and financial principles result i…

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Klaus Neusser
Time Series Econometrics

Springer Texts in Business and Economics

This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and its …

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Shoirakhon Nurdinova
Happiness and Life Satisfaction in Central Asia

Quality of Life in Asia - Band 24

This book offers the first comprehensive examination of life satisfaction and happiness in Central Asia from an empirical and comparative perspective. Drawing on econometric models, it reveals how economi…

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Salih Öztekin
Das Vertrauensmonopol im Schweizer Finanzsystem

Die Schweiz gilt weltweit als Synonym für Stabilität und Vertrauen. Doch genau diese Stärke prägt ein Finanzsystem, das Wettbewerb begrenzt und Abhängigkeiten schafft. Dieses Buch zeigt, wie Vertrauen zum…

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Alecos Papadopoulos, Christopher F. Parmeter
Two-Tier Stochastic Frontier Analysis for the Social Sciences

This textbook provides an up-to-date treatment of the two-tier stochastic frontier model and its applications across the social sciences. It is a cohesive treatise on both the classical methods of estimat…

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Nick Polson, Vadim Sokolov
Bayes, AI, and Deep Learning

From Alan Turing breaking the Enigma code to ChatGPT reshaping how we work and create, artificial intelligence has always been powered by a single unifying principle: learning from data under uncertainty.…

Erscheint bald

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Nick Polson, Vadim Sokolov
Bayes, AI, and Deep Learning

From Alan Turing breaking the Enigma code to ChatGPT reshaping how we work and create, artificial intelligence has always been powered by a single unifying principle: learning from data under uncertainty.…

Erscheint bald

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Martin L Puterman, Timothy C Y Chan
Markov Decision Processes and Reinforcement Learning

This book offers a comprehensive introduction to Markov decision process and reinforcement learning fundamentals using common mathematical notation and language. Its goal is to provide a solid foundation …

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Soroush Saghafian
Insight-Driven Problem Solving

Improving public policies, creating the next generation of AI systems, reducing crime, making hospitals more efficient, addressing climate change, controlling pandemics, and reducing disruption in supply …

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Ulrike Schuldenzucker
Prüfungstraining Deskriptive Statistik

Alle notwendigen Grundlagen der deskriptiven Statistik für Wirtschaftswissenschaftler:innen: Statistische Einheiten, Messbarkeitseigenschaften, Eindimensionale Datenreihen, Verteilungsfunktionen, Lagepara…

lieferbar in mind. 4 Wochen

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Ulrike Schuldenzucker
Prüfungstraining Induktive Statistik

Alle notwendigen Grundlagen der induktiven Statistik für Wirtschaftswissenschaftler:innen:Zufallsexperiment und WahrscheinlichkeitWahrscheinlichkeitsgesetze, Unabhängigkeit von EreignissenDiskrete Zufalls…

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