Model Volume 4
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| Author | : Shane Parrish |
| Publisher | : Penguin |
| Total Pages | : 209 |
| Release | : 2024-10-15 |
| Genre | : Business & Economics |
| ISBN | : 0593719972 |
Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.
| Author | : Ian T. Cameron |
| Publisher | : Elsevier |
| Total Pages | : 561 |
| Release | : 2001-05-23 |
| Genre | : Technology & Engineering |
| ISBN | : 0080514928 |
Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. - Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation - Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling - Illustrates the notions, tools, and techniques of process modeling with examples and advances applications
| Author | : So-Young Lee |
| Publisher | : TokyoPop |
| Total Pages | : 206 |
| Release | : 2004-07-13 |
| Genre | : Comics & Graphic Novels |
| ISBN | : 9781591827122 |
Jae discovers more secrets about her host Michael and Ken tries to come between them.
| Author | : Cars Hommes |
| Publisher | : Elsevier |
| Total Pages | : 836 |
| Release | : 2018-06-27 |
| Genre | : Business & Economics |
| ISBN | : 0444641327 |
Handbook of Computational Economics: Heterogeneous Agent Modeling, Volume Four, focuses on heterogeneous agent models, emphasizing recent advances in macroeconomics (including DSGE), finance, empirical validation and experiments, networks and related applications. Capturing the advances made since the publication of Volume Two (Tesfatsion & Judd, 2006), it provides high-level literature with sections devoted to Macroeconomics, Finance, Empirical Validation and Experiments, Networks, and other applications, including Innovation Diffusion in Heterogeneous Populations, Market Design and Electricity Markets, and a final section on Perspectives on Heterogeneity. - Helps readers fully understand the dynamic properties of realistically rendered economic systems - Emphasizes detailed specifications of structural conditions, institutional arrangements and behavioral dispositions - Provides broad assessments that can lead researchers to recognize new synergies and opportunities
| Author | : Shane Parrish |
| Publisher | : |
| Total Pages | : 397 |
| Release | : 2020-03-27 |
| Genre | : |
| ISBN | : 9781999449032 |
This is the second book in The Great Mental Models series and the highly anticipated follow up to the Wall Street Journal best seller, Volume 1: General Thinking Concepts. We tend to isolate the things we know in the domain we learned it. For example: What does the inertia of a rolling stone have to do with perseverance and being open minded? How can the ancient process of steel production make you a more creative and innovative thinker? What does the replication of our skin cells have to do with being a stronger and more effective leader? On the surface, these concepts may appear to be dissimilar and unrelated. But the surprising truth is the hard sciences (physics, chemistry, and biology) offer a wealth of useful tools you can use to develop critically important skills like: * Relationship building * Leadership * Communication * Creativity * Curiosity * Problem solving * Decision-making This second volume of the Great Mental Models series shows you how to make those connections. It explores the core ideas from the hard sciences and offers nearly two dozen models to add to your mental toolbox. You'll not only get a better understanding of the forces that influence the world around you, but you'll learn how to direct those forces to create outsized advantages in the areas of your life that matter most to you.
| Author | : Jeff Wilson |
| Publisher | : Kalmbach Publishing, Co. |
| Total Pages | : 136 |
| Release | : 2006 |
| Genre | : Architecture |
| ISBN | : 9780890246580 |
Jeff Wilson demonstrates how to model several rail-served industries with insights, photos, and guidelines. Includes an overview on coal customers, milk, paper, breweries, merchandise traffic, and iron ore.
| Author | : Len Silverston |
| Publisher | : John Wiley & Sons |
| Total Pages | : 572 |
| Release | : 2011-08-08 |
| Genre | : Computers |
| ISBN | : 111808232X |
A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses. This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective. This guide is the perfect complement to The Data Model Resource CD-ROM, which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format. A free demonstration CD-ROM is available with each copy of the print book to allow you to try before you buy the full CD-ROM.
| Author | : Linda B. Stebbins |
| Publisher | : University Press of America |
| Total Pages | : 314 |
| Release | : 1977 |
| Genre | : Education |
| ISBN | : 9780890115077 |
| Author | : Hadley Wickham |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 521 |
| Release | : 2016-12-12 |
| Genre | : Computers |
| ISBN | : 1491910364 |
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
| Author | : J. J. Landsberg |
| Publisher | : Academic Press |
| Total Pages | : 352 |
| Release | : 2010-11-26 |
| Genre | : Technology & Engineering |
| ISBN | : 0080922546 |
Process-based models open the way to useful predictions of the future growth rate of forests and provide a means of assessing the probable effects of variations in climate and management on forest productivity. As such they have the potential to overcome the limitations of conventional forest growth and yield models, which are based on mensuration data and assume that climate and atmospheric CO2 concentrations will be the same in the future as they are now. This book discusses the basic physiological processes that determine the growth of plants, the way they are affected by environmental factors and how we can improve processes that are well-understood such as growth from leaf to stand level and productivity. A theme that runs through the book is integration to show a clear relationship between photosynthesis, respiration, plant nutrient requirements, transpiration, water relations and other factors affecting plant growth that are often looked at separately. This integrated approach will provide the most comprehensive source for process-based modelling, which is valuable to ecologists, plant physiologists, forest planners and environmental scientists. - Includes explanations of inherently mathematical models, aided by the use of graphs and diagrams illustrating causal interactions and by examples implemented as Excel spreadsheets - Uses a process-based model as a framework for explaining the mechanisms underlying plant growth - Integrated approach provides a clear and relatively simple treatment
