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Gesamtkatalog

Catalogue complet

Schmuller Joseph: Statistical Analysis
with Python For Dummies

Statistical Analysis with Python For Dummies

Wiley Series in Probability and Statistics

The definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectiveness Statistical Methods in Diagnostic Medicine, 3rd Edition by Xiao-Hua Zhou, Jiarui Sun, Gene A. Pennello, Nancy A. Obuchowski and Donna K. McClish delivers the most comprehensive treatment of statistical methodologies for diagnostic test evaluation available today. The authors of the 2nd Edition - Peking University PKU Distinguished Chair Professor Zhou, Cleveland Clinic Professor Obuchowski, and Virginia Commonwealth University Professor Donna McClish - team with U.S. Food and Drug Administration senior mathematical statistician Pennello and doctoral researcher Sun to address a critical challenge facing medical professionals: ensuring that diagnostic tests used in clinical practice are accurate, methodologically sound, free from bias, and effective. This edition provides practitioners and researchers with the statistical foundation necessary to design, analyze, and validate diagnostic studies that can withstand regulatory scrutiny and clinical demands. The book has been thoroughly revised to incorporate the latest advances in diagnostic test methodology, featuring significant expansions in biomarker evaluation and benefit-risk assessment. The authors have restructured content to improve cohesion through integrated case studies that span multiple chapters, while updating each section with contemporary methods and streamlining discussions of older techniques to focus on the most relevant approaches for today's diagnostic challenges. Readers will also find: <ul><li>Three entirely new chapters covering statistical methods for risk prediction, quantitative imaging biomarkers, and efficacy and effectiveness of biomarkers and other tests.</li><li>Enhanced coverage of sample size calculations, accuracy estimation methods, and comparative analysis techniques for competing diagnostic tests</li><li>Advanced analytical approaches including methods for comparing correlated ROC curves in multi-reader studies and techniques for correcting verification bias</li><li>Comprehensive treatment of regression analysis applications in diagnostic accuracy research with updated methodological guidance</li><li>Integrated case studies that demonstrate real-world application of statistical methods across different diagnostic scenarios and study designs</li></ul> Perfect for biostatisticians, applied statisticians, clinical researchers, and regulatory professionals working in diagnostic medicine, Statistical Methods in Diagnostic Medicine will also benefit graduate students and researchers interested in gaining the statistical expertise needed to design robust diagnostic studies.

Statistical Methods in Diagnostic Medicine

World Scientific Lecture Notes In Economics And Policy

This book attempts to understand the operation and properties of 'market economies'. We do this by carefully examining, refining and in some cases extending the major theorems that Microeconomics has established in response to the Walrasian conjecture. We critically evaluate theorems and results, that assert the existence, uniqueness, stability, optimality and empirical relevance of Walrasian equilibrium states. As a result of our work, we attempt to comment on the wisdom of recommending that socio-economic systems operate as a collection of deregulated competitive markets.

Lectures In General Equilibrium Microeconomics

Employment, Hours, and Earnings

A special edition to the Handbook of U.S. Labor Statistics: Employment, Earnings, Prices, Productivity, and Other Labor Data, this reference is a consolidated wealth of employment information, providing monthly and annual data on hours worked and earnings made by industry, including figures and summary information spanning several years. These data are presented for states and the 75 largest metropolitan statistical areas (MSAs). This edition features: · Nearly 300 tables with data on employment for each state, the District of Columbia, and the nation's seventy-five largest MSAs · Detailed, non-seasonally adjusted industry data organized by month and year · Hours and earnings data for each state by industry · An introduction for each state and the District of Columbia that denotes salient data and noteworthy trends, including changes in population and the civilian labor force, industry increases and declines, employment and unemployment statistics, and a chart detailing employment percentages by industry · Ranking of the seventy-five largest MSAs, including census population estimates, unemployment rates, and the percent change in total nonfarm employment · Concise technical notes that explain pertinent facts about the data, including sources, definitions, and significant changes, with references for further guidance · A comprehensive appendix that details the geographical components of the seventy-five largest MSAs The employment, hours, and earnings data in this publication provide a detailed and timely picture of the fifty states, the District of Columbia, and the nation's seventy-five largest MSAs. These data can be used to analyze key factors affecting state and local economies and to compare national cyclical trends to local-level economic activity.

States and Areas

Employment, Hours, and Earnings 2026

Patterns of Economic Change by State and Area

Patterns of Economic Change by State and Area: Income, Employment, and Gross Domestic Product is a special edition of Business Statistics of the United States. It presents data on personal income, employment, and gross domestic product for the United States as a whole, and by region, state, and metropolitan statistical area (MSA). Data on personal income and employment extends back to 1960 for the states and regions and to 1970 for the MSAs. Patterns of Economic Change complements other Bernan Press titles such as the State and Metropolitan Area Data Book and County and City Extra. In contrast to their predominantly current and detailed cross-section data on states and metropolitan areas, this book contributes historical time-series measurements of key aggregates that show how the economies of regions, states, and metropolitan areas have responded over time to cyclical currents and long-term trends. Statistics at the state level provide a framework for analyzing current economic conditions in each state and can serve as a basis for decision making. For example: ·Federal government agencies use the statistics as a basis for allocating funds and determining matching grants to states. The statistics are also used in forecasting models to project energy and water use. ·State governments use the statistics to project tax revenues and the need for public services. ·Academic regional economists use the statistics for applied research. ·Businesses, trade associations, and labor organizations use the statistics for market research.

Income, Employment, and Gross Domestic Product

Patterns of Economic Change by State and Area 2026

Agricultural Statistics

Agricultural Statistics is published each year to meet the diverse need for a reliable reference book on agricultural production. It covers an extensive list of issues related to agriculture including livestock, farm values, crop production, and foreign trade. The estimates for crops, livestock, and poultry made by the U.S. Department of Agriculture are prepared mainly to give timely current state and national totals and averages. They are based on data obtained by sample surveys of farmers and of people who do business with farmers. The survey data are supplemented by information from the Census of Agriculture taken every five years. Being estimates, they are subject to revision as more data become available from commercial or government sources. Unless otherwise indicated, the totals for the United States shown in the various tables on area, production, numbers, price, value, supplies, and disposition are based on official estimates. They exclude states for which no official estimates are compiled. Professionals in farming, ranching, agricultural consulting, and animal science will find this most valuable.

Agricultural Statistics 2025

FROM THE BESTSELLING AUTHOR OF PROFESSOR STEWART'S CABINET OF MATHEMATICAL CURIOSITIES 'A superlative study of superlatives' GUARDIAN 'Britain's most brilliant and prolific populariser of maths' ALEX BELLOS What is the maximum land you can enclose inside a given border? What is the minimum number of colours you can use to colour in a map so that no region shares a shade? And how do you calculate the shortest route between two cities? These questions may not sound related, but they have this in common: they all explore extremes: shortest lines, greatest areas, fewest colours. They have also given rise to some of the most important areas of mathematical study and have resulted in a myriad of applications - from the legend of Dido's founding of the city of Carthage to contemporary satellite navigation systems. From soap bubbles to the cosmos, Britain's most beloved mathematician tells the fascinating stories of the people and ideas pushing the very bounds of mathematics - and the discoveries that have changed our lives.

How the Quest for the Biggest, Fewest and Weirdest Makes Maths

Reaching for the Extreme

Dieses Buch zusammen mit den drei weiteren Bänden bietet einen klaren und umfassenden Zugang zur Theoretische Physik des gesamten Bachelorstudiums.
 
Besonderheiten:
Theoretische Herleitungen werden verknüpft mit charakteristischen Beispielen, deren Lösungen sowie typischen Anwendungen und klar veranschaulicht in Abbildungen. Die benötigte Mathematik wird im physikalischen Kontext hergeleitet und transparent erklärt.
 
Der Inhalt:
Einführung in die Elektrodynamik – Coulombsches Gesetz – Grundlagen der Elektrostatik – Randwertprobleme in der Elektrostatik – Amperesches Gesetz – Grundgleichungen der Magnetostatik – Die Maxwellschen Gleichungen – Die elektromagnetischen Potentiale – Energie, Impuls und Drehimpuls des Feldes – Das elektromagnetische Feld im Vakuum – Wellenpakete im Vakuum – Lösungen der inhomogenen Wellengleichungen – Multipolstrahlung – Systematik der Multipolentwicklung – Makroskopische Felder – Energie, Impuls und Drehimpuls des Makroskopischen Feldes – Elektrische und magnetische Eigenschaften der Materie – Das elektromagnetische Feld an Grenzflächen –Kovarianz der Elektrodynamik
 
Die Zielgruppe:
Dieses Buch ist besonders geeignet für Bachelorstudierende im ersten oder zweiten Jahr.
 
Vorkenntnisse:
Die mathematischen Voraussetzungen umfassen Kenntnisse in Differentiation und Integration, elementarer Linearer Algebra sowie Konzepten der Vektoranalysis.

Dieses Buch zusammen mit den drei weiteren Bänden bietet einen klaren und umfassenden Zugang zur Theoretische Physik des gesamten Bachelorstudiums.&nbsp;Besonderheiten:Theoretische Herleitungen werden verknüpft mit charakteristischen Beispielen, deren Lösungen sowie typischen Anwendungen und klar veranschaulicht in Abbildungen. Die benötigte Mathematik wird im physikalischen Kontext hergeleitet und transparent erklärt.&nbsp;Der Inhalt:
 Einführung in die Elektrodynamik – Coulombsches Gesetz&nbsp;
 –
 Grundlagen der Elektrostatik – Randwertprobleme in der Elektrostatik – Amperesches Gesetz – Grundgleichungen der Magnetostatik – Die Maxwellschen Gleichungen – Die elektromagnetischen Potentiale – Energie, Impuls und Drehimpuls des Feldes – Das elektromagnetische Feld im Vakuum – Wellenpakete im Vakuum – Lösungen der inhomogenen Wellengleichungen – Multipolstrahlung –&nbsp;Systematik der Multipolentwicklung – Makroskopische Felder – Energie, Impuls und Drehimpuls des Makroskopischen Feldes – Elektrische und magnetische Eigenschaften der Materie – Das elektromagnetische Feld an Grenzflächen –Kovarianz der Elektrodynamik
 &nbsp;Die Zielgruppe:Dieses Buch ist besonders geeignet für Bachelorstudierende im ersten oder zweiten Jahr.&nbsp;Vorkenntnisse:Die mathematischen Voraussetzungen umfassen Kenntnisse in&nbsp;Differentiation und Integration, elementarer Linearer Algebra sowie Konzepten der Vektoranalysis.

Elektrodynamik

Theoretische Physik kompakt II

A special edition to the Handbook of U.S. Labor Statistics: Employment, Earnings, Prices, Productivity, and Other Labor Data, this reference is a consolidated wealth of employment information, providing monthly and annual data on hours worked and earnings made by industry, including figures and summary information spanning several years.These data are presented for states and the 75 largest metropolitan statistical areas (MSAs).

This edition features:

- Nearly 300 tables with data on employment for each state, the District of Columbia, and the nation's seventy-five largest MSAs

- Detailed, non-seasonally adjusted industry data organized by month and year

- Ranking of the seventy-five largest MSAs

- Concise technical notes

- A comprehensive appendix 

The employment, hours, and earnings data in this publication provide a detailed and timely picture of the fifty states, the District of Columbia, and the nation's seventy-five largest MSAs. These data can be used to analyze key factors affecting state and local economies and to compare national cyclical trends to local-level economic activity.

This reference is an excellent source of information for analysts in both the public and private sectors. Readers who are involved in public policy can use these data to determine the health of the economy, to clearly identify which sectors are growing and which are declining, and to determine the need for federal assistance. State and local jurisdictions can use the data to determine the need for services, including training and unemployment assistance, and for planning and budgetary purposes. In addition, the data can be used to forecast tax revenue. In private industry, the data can be used by business owners to compare their business to the economy as a whole and to identify suitable areas when making decisions about plant locations, wholesale and retail trade outlets, and locating a particular sector base.

Employment, Hours, and Earnings 2025

Dieses Buch zusammen mit den drei weiteren Bänden bietet einen klaren und umfassenden Zugang zur Theoretische Physik des gesamten Bachelorstudiums.
 
Besonderheiten
Theoretische Herleitungen werden verknüpft mit charakteristischen Beispielen, deren Lösungen sowie typischen Anwendungen und klar veranschaulicht in Abbildungen. Die benötigte Mathematik wird im physikalischen Kontext hergeleitet und transparent erklärt.
 
Inhalt:

Überblick – Kinematik–Relativbewegung – Dynamik– Anwendungen der Newton-Mechanik – Relativistische Mechanik – Formaler Aufbau der Mechanik – Anwendungen des Lagrange-Formalismus – Dynamik im Phasenraum
 
Zielgruppe:
Dieses Buch ist besonders geeignet für Bachelorstudierende im ersten Jahr.
 
Vorkenntnisse
Die mathematischen Voraussetzungen umfassen Kenntnisse in Differentiation und Integration.

Dieses Buch zusammen mit den drei weiteren Bänden bietet einen klaren und umfassenden Zugang zur Theoretische Physik des gesamten Bachelorstudiums.&nbsp;BesonderheitenTheoretische Herleitungen werden verknüpft mit charakteristischen Beispielen, deren Lösungen sowie typischen Anwendungen und klar veranschaulicht in Abbildungen. Die benötigte Mathematik wird im physikalischen Kontext hergeleitet und transparent erklärt.&nbsp;Inhalt
 :
 Überblick – Kinematik–Relativbewegung – Dynamik– Anwendungen der Newton-Mechanik – Relativistische Mechanik – Formaler Aufbau der Mechanik – Anwendungen des Lagrange-Formalismus – Dynamik im Phasenraum&nbsp;Zielgruppe
 :
 Dieses Buch ist besonders geeignet für Bachelorstudierende im ersten Jahr.&nbsp;VorkenntnisseDie mathematischen Voraussetzungen umfassen Kenntnisse in Differentiation und Integration.

Klassische Mechanik

Theoretische Physik kompakt I

The Untold Story of Steve Jobs's Wilderness Years—and the Creation of a Legend In 1985, Steve Jobs—the brilliant, volatile founder of Apple Computer—walked out of his company's headquarters, fired from the very corporation he had created. What happened next would transform not only his life and career, but the future of technology itself. For twelve years, from 1985 to 1997, Jobs wandered the business wilderness with his new venture, NeXT. It was a period of spectacular failures, near-bankruptcy, and brutal humiliation. But out of this crucible of defeat emerged the visionary leader who would go on to create the iPod, iPhone, and iPad, transforming Apple into the most valuable company on earth. Drawing on previously unpublished materials and new interviews with the key players, Geoffrey Cain reveals the untold story of Steve Jobs's "lost decade"—the formative years that shaped the icon we thought we knew. With unprecedented access to unbroadcast footage of Jobs in NeXT meetings, private company documents, and interviews with his closest colleagues, Cain offers the definitive account of how failure transformed a brash wunderkind into a true business genius. This is the story of how Steve Jobs learned to lead, how he discovered the power of focus, and how a spectacular failure became the foundation for one of the greatest comebacks in business history. It is nothing less than the missing piece in the legend of Steve Jobs.

The Untold Story of Steve Jobs's Wilderness Years—and the Creation of a Legend In 1985, Steve Jobs—the brilliant, volatile founder of Apple Computer—walked out of his company's headquarters, fired from the very corporation he had created. What happened next would transform not only his life and career, but the future of technology itself. For twelve years, from 1985 to 1997, Jobs wandered the business wilderness with his new venture, NeXT. It was a period of spectacular failures, near-bankruptcy, and brutal humiliation. But out of this crucible of defeat emerged the visionary leader who would go on to create the iPod, iPhone, and iPad, transforming Apple into the most valuable company on earth. Drawing on previously unpublished materials and new interviews with the key players, Geoffrey Cain reveals the untold story of Steve Jobs's "lost decade"—the formative years that shaped the icon we thought we knew. With unprecedented access to unbroadcast footage of Jobs in NeXT meetings, private company documents, and interviews with his closest colleagues, Cain offers the definitive account of how failure transformed a brash wunderkind into a true business genius. This is the story of how Steve Jobs learned to lead, how he discovered the power of focus, and how a spectacular failure became the foundation for one of the greatest comebacks in business history. It is nothing less than the missing piece in the legend of Steve Jobs.

The Untold Story of NeXt and the Remaking of an American Visionary

Steve Jobs in Exile

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

Embracing Uncertainty and Complexity

Adaptive Finance

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

Statistical Analysis with Python For Dummies

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