The Great Events by Famous Historians PDF Download

Author: John L. Casti
Publisher: Harper Collins
ISBN: 0062088300
Category : Social Science
Languages : en
Pages : 440

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Book Description
A necessary and thought-provoking read for the age of coronavirus, exploring eleven scenarios that may trigger the collapse of the modern world — from pandemics to nuclear apocalypse to robot uprisings — and what we can do to prevent and survive them. In the twenty first century, our world has become impossibly complicated, relying on ever more advanced technology that is developing at an exponential rate. Yet it is a fact of mathematical life that higher and higher levels of complexity lead to systems that are increasingly fragile and susceptible to sudden, spectacular collapse. In this highly provocative and grippingly readable book, John Casti brilliantly argues that today’s advanced, overly complex societies have grown highly vulnerable to extreme events that will ultimately topple civilization like a house of cards. Like Nassim Taleb’s The Black Swan meets Jared Diamond’s Collapse, Casti’s book provides a much-needed wake-up call, sounding a fascinating and frightening warning about civilized society’s inability to recover from a global catastrophe. An eye-opening and necessary read, X-Events is a shocking look at a world teetering on the brink of collapse, and a population under constant threat from pandemic viruses, worldwide communication breakdowns, nuclear winter, or any number of unforeseeable “X-Events.” Fascinating and chilling, X-Events provides a provocative tour of the catastrophic outlier scenarios that could quickly send us crashing back to the preindustrial age – and shows that they may not be as far-fetched as they seem.

Author: Charles Francis Horne
Publisher:
ISBN:
Category : World history
Languages : en
Pages : 426

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Book Description

Author: Cain Mckay
Publisher: Scientific e-Resources
ISBN: 1839473304
Category :
Languages : en
Pages : 331

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Author: Graham Upton
Publisher: Oxford University Press
ISBN: 0192885774
Category : Mathematical statistics
Languages : en
Pages : 161

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Book Description
Data analysis has been a hot topic for a number of years, and many future data scientists have backgrounds that are relatively light in mathematics. This slim volume provides a very approachable guide to the techniques of the subject, designed with such people in mind. Formulae are kept to a minimum, but the book's scope is broad, introducing the basic ideas of probability and statistics and more advanced techniques such as generalised linear models, classification using logistic regression, and support-vector machines. An essential feature of the book is that it does not tie to any particular software. The methods introduced in this book could also be implemented using any other statistical software and applying any major statistical package. Academically, the book amounts to a first course, practical for those at the undergraduate level, either as part of a mathematics/statistics degree or as a data-oriented option for a non-mathematics degree. The book appeals to would-be data scientists who may be formula shy. However, it could also be a relevant purchase for statisticians and mathematicians, for whom data science is a new departure, overall appealing to any computer-literate reader with data to analyse.

Author: Alan E. Gelfand
Publisher: CRC Press
ISBN: 1351648543
Category : Mathematics
Languages : en
Pages : 798

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Book Description
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.

Author: Walter D. Wallis
Publisher: CRC Press
ISBN: 1498777627
Category : Mathematics
Languages : en
Pages : 311

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Book Description
What Is Combinatorics Anyway? Broadly speaking, combinatorics is the branch of mathematics dealing with different ways of selecting objects from a set or arranging objects. It tries to answer two major kinds of questions, namely, counting questions: how many ways can a selection or arrangement be chosen with a particular set of properties; and structural questions: does there exist a selection or arrangement of objects with a particular set of properties? The authors have presented a text for students at all levels of preparation. For some, this will be the first course where the students see several real proofs. Others will have a good background in linear algebra, will have completed the calculus stream, and will have started abstract algebra. The text starts by briefly discussing several examples of typical combinatorial problems to give the reader a better idea of what the subject covers. The next chapters explore enumerative ideas and also probability. It then moves on to enumerative functions and the relations between them, and generating functions and recurrences., Important families of functions, or numbers and then theorems are presented. Brief introductions to computer algebra and group theory come next. Structures of particular interest in combinatorics: posets, graphs, codes, Latin squares, and experimental designs follow. The authors conclude with further discussion of the interaction between linear algebra and combinatorics. Features Two new chapters on probability and posets. Numerous new illustrations, exercises, and problems. More examples on current technology use A thorough focus on accuracy Three appendices: sets, induction and proof techniques, vectors and matrices, and biographies with historical notes, Flexible use of MapleTM and MathematicaTM

Author: Veronika Mattes
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110363127
Category : Language Arts & Disciplines
Languages : en
Pages : 222

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Book Description
The book systematically discusses the formal and functional properties as well as the rules of the manifold productive reduplication types of Bikol, an Austronesian language of the Philippines. Based on the author's own fieldwork, this case study demonstrates the highly complex and grammaticized status of reduplication. In addition, the formal and semantic properties of unproductive reduplicative forms of the language are also investigated.

Author: Chiu Yu Ko
Publisher: Chiu Yu Ko
ISBN:
Category : Business & Economics
Languages : en
Pages : 276

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Book Description
A gentle non-technical introduction to statistics. Include exercise and answers. Online videos are included for important topics.

Author: Jacek M. Czaplicki
Publisher: CRC Press
ISBN: 1138001139
Category : Mathematics
Languages : en
Pages : 290

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Book Description
Many areas of mining engineering gather and use statistical information, provided by observing the actual operation of equipment, their systems, the development of mining works, surface subsidence that accompanies underground mining, displacement of rocks surrounding surface pits and underground drives and longwalls, amongst others. In addition, the actual modern machines used in surface mining are equipped with diagnostic systems that automatically trace all important machine parameters and send this information to the main producer’s computer. Such data not only provide information on the technical properties of the machine but they also have a statistical character. Furthermore, all information gathered during stand and lab investigations where parts, assemblies and whole devices are tested in order to prove their usefulness, have a stochastic character. All of these materials need to be developed statistically and, more importantly, based on these results mining engineers must make decisions whether to undertake actions, connected with the further operation of the machines, the further development of the works, etc. For these reasons, knowledge of modern statistics is necessary for mining engineers; not only as to how statistical analysis of data should be conducted and statistical synthesis should be done, but also as to understanding the results obtained and how to use them to make appropriate decisions in relation to the mining operation. This book on statistical analysis and synthesis starts with a short repetition of probability theory and also includes a special section on statistical prediction. The text is illustrated with many examples taken from mining practice; moreover the tables required to conduct statistical inference are included.

Author: Chris J. Lloyd
Publisher: John Wiley & Sons
ISBN: 0470619600
Category : Business & Economics
Languages : en
Pages : 512

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Book Description
A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to know about: data handling and Microsoft Excel, uncertainty, the relationship between inputs and outputs, and complex decisions with trade-offs and uncertainty. Grounded in the author's own classroom approach to business statistics, the book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions. A basic, non-mathematical foundation in statistics is provided, outlining for readers the tools needed to link data with business decisions; account for uncertainty in the actions of others and in patterns revealed by data; handle data in Excel; translate their analysis into simple business terms; and present results in simple tables and charts. The author discusses key data analytic frameworks, such as decision trees and multiple regression, and also explores additional topics, including: Use of the Excel® functions Solver and Goal Seek Partial correlation and auto-correlation Interactions and proportional variation in regression models Seasonal adjustment and what it reveals Basic portfolio theory as an introduction to correlations Chapters are introduced with case studies that integrate simple ideas into the larger business context, and are followed by further details, raw data, and motivating insights. Algebraic notation is used only when necessary, and throughout the book, the author utilizes real-world examples from diverse areas such as market surveys, finance, economics, and business ethics. Excel® add-ins StatproGo and TreePlan are showcased to demonstrate execution of the techniques, and a related website features extensive programming instructions as well as insights, data sets, and solutions to problems included in the material. Data Driven Business Decisions is an excellent book for MBA quantitative analysis courses or undergraduate general statistics courses. It also serves as a valuable reference for practicing MBAs and practitioners in the fields of statistics, business, and finance.