Sebanyak 6 item atau buku ditemukan

Statistics, Data Mining, and Machine Learning in Astronomy

A Practical Python Guide for the Analysis of Survey Data

As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest. Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from contemporary astronomical surveys Uses a freely available Python codebase throughout Ideal for students and working astronomers

This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response ...

Statistics, Data Mining, and Machine Learning in Astronomy

A Practical Python Guide for the Analysis of Survey Data

As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest. Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from contemporary astronomical surveys Uses a freely available Python codebase throughout Ideal for students and working astronomers

This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response ...

American Christians and Islam

Evangelical Culture and Muslims from the Colonial Period to the Age of Terrorism

Pointing to many evangelicals' unwillingness to acknowledge Islam's theological commonalities with Christianity and their continued portrayal of Islam as an "evil" and false religion, Kidd explains why Christians themselves are ironically to blame for the failure of evangelism in the Muslim world."

He offers an important chapter in the story of American attitudes toward Muslims. This book fills a gap in the scholarship of American religious culture.

Adam Smith Goes to Moscow

A Dialogue on Radical Reform

Adam Smith Goes to Moscow is a captivating dialogue between the head of a hypothetical, formerly socialist East European country and a fervently market-minded American adviser. Their spirited give-and-take highlights the monumental political as well as economic complexities currently faced by the former Soviet bloc countries as they struggle to transform themselves into free market economies.

In a remarkably short time spent with this book, even a neophyte can learn much about the issues facing those who must grapple with the monumental task of converting economies from pale shadows of the socialist ideal to (hopefully) less ...

The Strategic Constitution

Making, amending, and interpreting constitutions is a political game that can yield widespread suffering or secure a nation's liberty and prosperity. Given these high stakes, Robert Cooter argues that constitutional theory should trouble itself less with literary analysis and arguments over founders' intentions and focus much more on the real-world consequences of various constitutional provisions and choices. Pooling the best available theories from economics and political science, particularly those developed from game theory, Cooter's economic analysis of constitutions fundamentally recasts a field of growing interest and dramatic international importance. By uncovering the constitutional incentives that influence citizens, politicians, administrators, and judges, Cooter exposes fault lines in alternative forms of democracy: unitary versus federal states, deep administration versus many elections, parliamentary versus presidential systems, unicameral versus bicameral legislatures, common versus civil law, and liberty versus equality rights. Cooter applies an efficiency test to these alternatives, asking how far they satisfy the preferences of citizens for laws and public goods. To answer Cooter contrasts two types of democracy, which he defines as competitive government. The center of the political spectrum defeats the extremes in "median democracy," whereas representatives of all the citizens bargain over laws and public goods in "bargain democracy." Bargaining can realize all the gains from political trades, or bargaining can collapse into an unstable contest of redistribution. States plagued by instability and contests over redistribution should move towards median democracy by increasing transaction costs and reducing the power of the extremes. Specifically, promoting median versus bargain democracy involves promoting winner-take-all elections versus proportional representation, two parties versus multiple parties, referenda versus representative democracy, and special governments versus comprehensive governments. This innovative theory will have ramifications felt across national and disciplinary borders, and will be debated by a large audience, including the growing pool of economists interested in how law and politics shape economic policy, political scientists using game theory or specializing in constitutional law, and academic lawyers. The approach will also garner attention from students of political science, law, and economics, as well as policy makers working in and with new democracies where constitutions are being written and refined.

The scope of the book is simply breathtaking."--Geoffrey Garrett, Yale University "I found this book to be incredibly stimulating.