Über uns

À propos de nous

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Barrierefreiheit

Accessibilité

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Persönlichkeitsrecht

Droit de la personnalité

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Swisslex

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Open Access Policy

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Unser Magazin

Notre magazine

Vision und Mission

Vision et mission

Partner

Partenaires

Unternehmenskultur

Culture d'entreprise

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Sortiment & Suche

Catalogue & Recherche

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Fachkatalog Recht

Catalogue de droit

Cardon M: Introductory Business
Statistics Vol 2

Introductory Business Statistics Vol 2

<div>Sportopedia&nbsp;is your ultimate guide to the exhilarating world of sport. Learn amazing facts about all your favourite&nbsp;sports, and discover new&nbsp;ones you may not have come across before.&nbsp; Whether you're into team sports, target sports, track and field, or aquatic sports,&nbsp;this book showcases a diverse array of athletes – male, female, able-bodied and Paralympians –&nbsp;and celebrates the unique&nbsp;talents of&nbsp;sportspeople everywhere, making it a treasure trove for all the family to share. With basic tenets and rules&nbsp;as well as more niche facts all explained, this book serves as a complete encyclopedia to the sporting world. Covering ball sports, such as soccer, rugby, volleyball, lacrosse, rugby and cricket; racket sports such as tennis, table tennis and badminton; athletics and gymnastics; target sports such as shooting, archery and golf; as well as combat sports such as judo, karate and boxing, this book covers everything from very well known activities to the more niche sporting hobbies such as boccia and kabaddi. Sport-loving kids will find hours of entertainment and fascinating information in this awesome encyclopedia.</div>

Explore more than 50 sports from around the world

Sportopedia

Bayesian statistics and statistical practice have evolved over the years, driven by advancements in theory, methods, and computational tools. Bayesian Workflow explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied analyses and inspire future innovations in theory, methods, and software. It emphasizes the importance of iterative model building, model checking, computational troubleshooting, and simulated-data experimentation, offering a comprehensive perspective on statistical analysis.Through detailed examples and practical guidance, the book bridges the gap between theory and application, empowering practitioners and researchers to navigate the complexities of Bayesian inference. It is not a checklist or cookbook but a flexible framework for understanding and resolving challenges in statistical modeling and decision-making under uncertainty.Features<ul> <li>Covers all aspects of Bayesian statistical workflow, including model building, inference, validation, troubleshooting, and understanding</li> <li>Demonstrates iterative model development and computational problem-solving through real-world case studies</li> <li>Explores computational challenges, calibration checking, and connections between modeling and computation</li> <li>Highlights the importance of checking models under diverse conditions to understand their limitations and improve their robustness</li> <li>Discusses how Bayesian principles apply to non-Bayesian methods in statistics and machine learning</li> <li>Includes code snippets, exercises, and links to full datasets and code in R and Stan, with applicability to other programming environments like Python and Julia</li> </ul>This book is designed for practitioners of applied Bayesian statistics, particularly users of probabilistic programming languages such as Stan, as well as developers of methods and software tailored to these users. It also targets researchers in Bayesian theory and methods, offering insights into understudied aspects of statistical workflows. Instructors and students will find adaptable exercises and case studies to enhance their learning experience. Beyond Bayesian inference, the book's principles are relevant to users of non-Bayesian methods, making it a valuable resource for statisticians, data scientists, and machine learning professionals seeking to improve their modeling and decision-making processes.

Bayesian Workflow

Apprenez à vous défendre, la Justice vous aide

Victime?

Co-Opting AI

How AI is rewiring our social fabric--and how we can better shape our future. The age of AI is not what you think. Rather than ushering in a fourth Industrial Revolution, AI has become a crucial social infrastructure of everyday life. It's embedded in the tools, platforms, and systems that organize our most intimate lives and our interactions with the most fundamental institutions of society, from government agencies to banks and schools. In these linkages are embedded assumptions about who we are, what we can do, and where we belong. In Predicted, Mona Sloane offers a pragmatic framework for understanding these transformations around prediction, classification, and linearity, proposing that we think about AI as a social arrangement that we coproduce. Drawing on over a decade of empirical research and real-world examples, this book invites us to see AI for what it is: deeply social, deeply political, and open to change. Clear-eyed and provocative, Predicted is a call to reclaim deliberations about progress and innovation as a public good and to ensure that the futures we chart are the ones we choose--together.

How AI Is Restructuring Social Life

Predicted: Volume 1

Truer now than when it was written—the prophetic classic now back in print. Twenty-six years after its original publication, Borsook’s “smart, funny and irreverent” (The New York Times) critique of high-tech has proved a prescient assessment of a toxic ethos which has seeped into every corner of our world. Cyberselfish saw the warning signs about a culture violently lacking in compassion, tremendously opposed to regulation, more comfortable with computers than people, and surprisingly ignorant. An ironic position, given this cohort was perhaps the single biggest recipient of the greatest government subsidy of technology and expansion in history. But it is also a culture that believes in Ayn Rand and the stockholder theory of value and acts as if privacy isn't for the Little People. Borsook foresaw that once tech boomed to new heights of financial success, those at the helm would feel their achievement in one sphere should result in greater power and influence in others. Today, as titans of the tech world have inserted themselves even further into all aspects of society, Borsook’s insights have become more universally applicable than even she could have imagined. But what will result if the people who shape public policy know nothing about history or political science or, most importantly, how to interact with other humans? Cyberselfish posits this is the true revenge of the nerds.

A Critical Romp through the Terribly Libertarian Culture of High Tech

Cyberselfish

The comprehensively updated new edition of a bestselling textbook that covers fundamental features of bonds, analytical techniques, and portfolio strategies. Now in its 11th edition, this bestselling textbook illuminates the complexities and dynamics of the bond markets, integrating rigorous technical content with real-world case studies to effectively bridge theory and application. Advances in technology and data availability have fundamentally transformed how fixed-income securities are valued, traded, and managed. This fully updated new edition addresses the growing demand for tools and techniques that support sophisticated decision-making in increasingly complex markets by incorporating the latest analytical frameworks and computational methods with a solid grounding in core principles. Designed for a broad audience, it gives students the fundamental knowledge they need to excel in portfolio management, trading, and risk analysis roles while equipping experienced practitioners with more profound insights into advanced strategies and contemporary challenges. New edition highlights: <ul><li>New chapters on analytical tools, bond trading mechanics, strategies, and backtesting</li><li>Cutting-edge topics include machine learning, NLP, and trading mechanics</li><li>Expanded coverage of corporate bond credit models, return attribution models, and the latest models analyzing convertible bonds</li><li>Extensive new appendices feature case studies from diverse practitioners</li><li>Pragmatic modular structuring adapts to diverse course designs</li><li>End-of-chapter internet questions, slides, and solutions</li></ul>

Bond Markets, Analysis, and Strategies, eleventh edition

In recent years, computer technology has invaded all fields of science and human activity. It is necessary to find simple, yet powerful, methods to help you perform your work effectively and easily, without sacrificing methodological standards. This book is a practical guide for professionals, educators, and students eager to harness the power of programming. The book bridges the gap between technical computing and real-world applications in behavioral science, and makes Python accessible to those with little to no coding background. Python is a powerful and comprehensive language that serves professionals, including those reluctant to use a computer, and students looking for a free tool to improve learning and research capacity. The book is aimed at psychologists, psychiatrists, neuroscientists, educators, social scientists, and students in these fields, who have no prior programming experience but need to expand their computing knowledge.

What You Will Learn:

Program in an accessible language with broad possibilities

Implement concrete projects related to daily professional activities in psychology, social sciences, and education

Explore possibilities for automating common tasks that are boring or require a lot of control




Who This Book Is For:

Psychologists, psychiatrists, neuroscientists, educators, social scientists, and students in these fields, who have no prior programming experience but need to expand their computing knowledge for their work

Programming Made Easy for Psychologists, Educators, and Social Scientists

Python for Psychology, Social Sciences, and Education

International Series in Operations Research & Management Science

This innovative book explores methodologies for constructing confidence intervals for proportions. It compares existing techniques and introduces new procedures developed by the authors, emphasizing the actual coverage function to assess their effectiveness. It covers various applications, such as estimating success rates in Monte Carlo simulations, gauging electoral support, assessing project completion rates, and evaluating product reliability. It provides analysts with both point and interval estimators, highlighting how interval estimators offer precision for point estimates.

Key focus is placed on selecting appropriate confidence interval procedures and understanding their statistical properties. While traditional methods offer only approximate intervals, this work examines popular options and derives their statistical characteristics, providing guidelines for practitioners. Additionally, it discusses pointwise confidence intervals for survivor functions from randomly right-censored datasets, appealing to reliability engineers and survival analysts. It includes practical applications through functions in R, allowing practitioners to compute confidence intervals and visualize their coverage.

As the first of its kind to focus solely on this topic, the book serves as a valuable resource for advanced students and can support a one-semester course on confidence intervals for proportions, making a significant contribution to the field of statistics.

Analysis of Binary Data with Applications to Survival Analysis

Confidence Intervals for Proportions

A bold new vision for data science—and a practical, step-by-step guide for how data scientists can contribute to social justice. The field of data science faces a moral crisis. Despite the desires of data scientists to develop algorithms for good, algorithms regularly produce injustice in practice. Given these persistent harms, the field must reflect on difficult questions about its identity and future. Can data science be a force for promoting social justice in the world? What practices should data scientists follow to achieve this goal? In Algorithmic Realism, Ben Green presents a bold and interdisciplinary approach to data science. Drawing on his experience practicing data science in the public interest, he argues that improving society with algorithms requires transforming data science from a formalist methodology focused on mathematical models into a practical methodology focused on addressing real-world problems. By providing an expanded framework for the “data science workflow”—the steps that characterize the algorithm development process—he offers a practical, step-by-step guide describing how data scientists can apply their skills in service of social justice. Through these contributions, the book reveals a vision for a renewed, but realistic, optimism about data science’s potential to foster a more equitable world.

Data Science Practices to Promote Social Justice

Algorithmic Realism

Capitalism is a system of financing new ideas and technologies. Thriving on constant disruption, it expands in search of cheaper labor, and it discovers new technologies that radically change the nature of work. From the first stock markets to modern cryptocurrencies, capitalism has also created its own institutions. The resulting upheavals are not always welcomed by political forces, established businesses, or society more broadly, but controlling capitalism has always proved to be a challenge. In this timely book, Vlad Tarko explores the meaning of capitalism, its origins, the varieties of capitalism, and its expansion to a global system. He discusses both the idealized institutions under which capitalism works best, and the reasons why capitalism often thrives even under highly imperfect institutions. Last but not least, he discusses why, despite generating unprecedented growth, capitalism suffers periodic crises of legitimacy related to inequality and uncertainty. Understanding Capitalism is the go-to text for students of politics, philosophy, and economics, as well as a handy reference for scholars working across these fields.

An Introduction to Political Economy

Understanding Capitalism

Visionary marketing insider, Christian Muche, Founder of the annual Possible conference, has built his career by turning bold ideas into transformative platforms that shape industries and inspire global audiences. In The Future Possible, Christian shares the latest groundbreaking innovation at the intersection of marketing and technology so that businesses of all types can learn what is needed to succeed over the coming decades.The key themes include: <ul><li>Trust as the primary currency (earned, measured, defended).</li><li>Moments as the flywheel that turns attention into adoption.</li><li>Networks as the distribution logic for ideas, products, and reputation.</li></ul>This is the playbook to building trust-first brands that travel across markets and media. Chapters include executive frameworks that leaders can apply immediately, and a clear way to lead through AI acceleration, cultural volatility, and the post-attention economy without whiplash.

Leadership, Human Connection, and Creating What Comes Next

The Future Possible

Population, Progress, and the Case for People

After the Spike

Introductory Business Statistics Vol 2

Autres titres sur ce thème