time
Pressed for Time 豆瓣
作者:
Judy Wajcman
出版社:
University Of Chicago Press
2014
The technologically tethered, iPhone-addicted figure is an image we can easily conjure. Most of us complain that there aren't enough hours in the day and too many e-mails in our thumb-accessible inboxes. This widespread perception that life is faster than it used to be is now ingrained in our culture, and smartphones and the Internet are continually being blamed. But isn't the sole purpose of the smartphone to give us such quick access to people and information that we'll be free to do other things? Isn't technology supposed to make our lives easier?
In Pressed for Time, Judy Wajcman explains why we immediately interpret our experiences with digital technology as inexorably accelerating everyday life. She argues that we are not mere hostages to communication devices, and the sense of always being rushed is the result of the priorities and parameters we ourselves set rather than the machines that help us set them. Indeed, being busy and having action-packed lives has become valorized by our productivity driven culture. Wajcman offers a bracing historical perspective, exploring the commodification of clock time, and how the speed of the industrial age became identified with progress. She also delves into the ways time-use differs for diverse groups in modern societies, showing how changes in work patterns, family arrangements, and parenting all affect time stress. Bringing together empirical research on time use and theoretical debates about dramatic digital developments, this accessible and engaging book will leave readers better versed in how to us
In Pressed for Time, Judy Wajcman explains why we immediately interpret our experiences with digital technology as inexorably accelerating everyday life. She argues that we are not mere hostages to communication devices, and the sense of always being rushed is the result of the priorities and parameters we ourselves set rather than the machines that help us set them. Indeed, being busy and having action-packed lives has become valorized by our productivity driven culture. Wajcman offers a bracing historical perspective, exploring the commodification of clock time, and how the speed of the industrial age became identified with progress. She also delves into the ways time-use differs for diverse groups in modern societies, showing how changes in work patterns, family arrangements, and parenting all affect time stress. Bringing together empirical research on time use and theoretical debates about dramatic digital developments, this accessible and engaging book will leave readers better versed in how to us
Time Series Analysis 豆瓣
作者:
George E. P. Box
/
Gwilym M. Jenkins
…
出版社:
Wiley
2008
- 6
A modernized new edition of one of the most trusted books on time series analysis. Since publication of the first edition in 1970, Time Series Analysis has served as one of the most influential and prominent works on the subject. This new edition maintains its balanced presentation of the tools for modeling and analyzing time series and also introduces the latest developments that have occurred n the field over the past decade through applications from areas such as business, finance, and engineering. The Fourth Edition provides a clearly written exploration of the key methods for building, classifying, testing, and analyzing stochastic models for time series as well as their use in five important areas of application: forecasting; determining the transfer function of a system; modeling the effects of intervention events; developing multivariate dynamic models; and designing simple control schemes. Along with these classical uses, modern topics are introduced through the book's new features, which include: A new chapter on multivariate time series analysis, including a discussion of the challenge that arise with their modeling and an outline of the necessary analytical tools New coverage of forecasting in the design of feedback and feedforward control schemes A new chapter on nonlinear and long memory models, which explores additional models for application such as heteroscedastic time series, nonlinear time series models, and models for long memory processes Coverage of structural component models for the modeling, forecasting, and seasonal adjustment of time series A review of the maximum likelihood estimation for ARMA models with missing values Numerous illustrations and detailed appendices supplement the book,while extensive references and discussion questions at the end of each chapter facilitate an in-depth understanding of both time-tested and modern concepts. With its focus on practical, rather than heavily mathematical, techniques, Time Series Analysis , Fourth Edition is the upper-undergraduate and graduate levels. this book is also an invaluable reference for applied statisticians, engineers, and financial analysts.
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时间序列分析:预测与控制
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时间序列分析:预测与控制