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Catalogue complet

Fashina R: YOUR GUIDE TO BREAKING THE
LEARNING TRAP

YOUR GUIDE TO BREAKING THE LEARNING TRAP

WHY INTELLIGENCE GETS YOU STUCK AND HOW TO BREAK FREE

A Pioneering Classic of Japanese Minimalism and a Japanese Bestseller published in English for the first time

'A meaningful guide for living lightly and authentically' MARIE KONDO

Let Go

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

- 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.

States and Areas

Employment, Hours, and Earnings 2025

Statistical Design and Inference for the Social Sciences&nbsp;goes beyond the math to teach students how to use data to support meaningful, causal arguments.

Statistical Design and Inference for the Social Sciences

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

Statistical Practice for Data Science: with Hands-on Illustrations using R is a comprehensive guide designed to equip students from diverse fields-engineering, science, and the biological, physical, and social sciences-with the statistical tools and techniques essential for data science. This book bridges the gap between theoretical concepts and practical applications, offering a clear and accessible introduction to statistics with minimal mathematical prerequisites. With a focus on real-world datasets and hands-on implementation using R, it empowers students to analyze, interpret, and communicate data effectively.The book begins with foundational concepts in probability and statistics, ensuring that students with only college-level algebra can grasp the material. It progresses through key topics such as data visualization, hypothesis testing, regression modeling, and modern machine learning methods like random forests and gradient boosting. Each chapter is enriched with practical examples and coding exercises in R, making it an invaluable resource for students embarking on a data science program.Designed as a one-semester course, the book provides flexibility for instructors to tailor the content to their curriculum. Whether exploring generalized linear models, mixed-effects models, or dependent data analysis, students will gain a deep understanding of statistical methods and their applications across various domains. By the end of the book, readers will be equipped to make informed decisions, quantify uncertainty, and communicate their findings effectively.This book is not just a learning tool-it's a practical companion for aspiring data scientists seeking to master statistical practice and R programming.

With Hands-On Illustrations Using R

Statistical Practice for Data Science

The Leadership Playbook for the Age of Shock

One Week to Live

Routledge-Giappichelli Studies in Business and Management

From Basic Growth Models to Computational Methods

Dynamic Programming for Economists

The Illusion of Urgency and a Better Way to Live

Time Anxiety

"Trauma and adversity don't block our capacity to grow and thrive - this book teaches us how. As a psychologist, this book provided me with new insights, and as a survivor, I felt validated and seen" Dr Ramani Durvasula, New York Times bestselling author of It's Not You "Clear, grounded, and deeply practical" Sabrina Zohar In a world rocked by pandemics, climate change, and political unrest, resilience has never been more essential. In this groundbreaking book, trauma researcher, survivor, and professor Sherry Hamby reveals the truth about resilience: struggling with trauma doesn't mean we lack it. Instead, it's a sign that we're facing life's challenges head-on. What we need to know is how to bounce back and prepare better for future hardships. Drawing on years of research and lived experience, Hamby introduces the concept of the "resilience equation": by increasing our 'strengths dosage', we can offset our 'trauma dosage'. In other words, adding more positive experiences can help us heal from the negative ones. It's possible to thrive, even after significant trauma, and piece together a meaningful, fulfilled life. This book empowers you with three core steps to cultivate resilience: 1. Find connection - through something larger than yourself 2. Master your emotions and behaviours - learn how to manage your impulses 3. Leverage your resources - tap into the support of family, friends, and community From practices like mindfulness and forest bathing to deeper calls for social justice and activism, Stronger Than You Think equips you with tools to strengthen your own resilience and uplift others in the process. No matter what life throws your way, you'll learn how to face it with strength, hope, and purpose.

Four Pillars for a Stronger, More Resilient You

Stronger Than You Think

This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in today's data-driven world.Using clear illustrations, the book enables readers to organise and manage data, perform analytical computations, create meaningful visualisations, and draw conclusions. It introduces core concepts in research, data analysis, and economic and financial decision-making, demonstrating their relevance in academic, professional, and everyday contexts. This book enables readers to:<ul> <li>Work confidently with MS Excel and R for efficient data handling and analysis</li> <li>Present and visualise data using charts, tables, and Pivot Tables</li> <li>Apply statistical techniques such as descriptive statistics, correlation, regression, and hypothesis testing</li> <li>Perform financial analysis using concepts such as time value of money, compounding, NPV, IRR, and EMI calculations</li> </ul>By combining concepts with practical implementation, the book provides a strong foundation in computational techniques essential for modern data analysis.This revised third edition introduces two new chapters on R for data analysis, complementing the book's Excel-based approach, making it an invaluable resource for beginners and students of economics, commerce, management, and the social sciences. This book will be useful for courses in econometrics, financial technology, and applied economics, as it equips readers with the analytical and computational skills required for academic excellence and professional success.

Mastering MS Excel and R

Basic Computational Techniques for Data Analysis

How to Stop Guessing, Reduce Financial Stress, and Make Room for What Matters Most

Money, Made Lighter

YOUR GUIDE TO BREAKING THE LEARNING TRAP

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