The Production of Knowledge: Enhancing Progress in Social Science, Colin Elman, John Gerring, James Mahoney

Автор: Chaomei Chen; Min Song
Название: Representing Scientific Knowledge
ISBN: 3319625411 ISBN-13(EAN): 9783319625416
Издательство: Springer
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Цена: 62410.00 T
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Описание: How can we effectively and precisely convey the status of the current science to the general public as well as scientists across different disciplines? The study of scientific knowledge in general has been overwhelmingly focused on scientific knowledge per se.

Автор: Anderson, Mark J. Whitcomb, Patrick J.
Название: Rsm simplified
ISBN: 1498745989 ISBN-13(EAN): 9781498745987
Издательство: Taylor&Francis
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Цена: 58170.00 T
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Описание:

Anderson and Whitcomb pick up where they left off in DOE Simplified with RSM Simplified -- a practical tool for design of experiments that anyone with a minimum of technical training can understand and appreciate. Their approach is simple and fun for those who desire knowledge on response surface methods but are put off by the academic nature of other books on the topic.

Автор: Kaye Husbands Fealing, Julia I. Lane, John L. King, Stanley R. Johnson
Название: Measuring the Economic Value of Research : The Case of Food Safety
ISBN: 1107159695 ISBN-13(EAN): 9781107159693
Издательство: Cambridge Academ
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Цена: 103490.00 T
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Описание: This book analyses the impact of federal research spending in food safety - a public policy question with huge economic ramifications. This innovative study makes use of an extraordinary new data infrastructure and applies new `big data` techniques to show connections between university research funding and subsequent activities of researchers.

Автор: Colin Elman, John Gerring, James Mahoney
Название: The Production of Knowledge: Enhancing Progress in Social Science
ISBN: 1108486770 ISBN-13(EAN): 9781108486774
Издательство: Cambridge Academ
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Цена: 115110.00 T
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Описание: A wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, including problems of transparency, replication, and reliability. Rather than focusing on individual studies or methods, this book examines how collective institutions and practices have (often unintended) impacts on the production of knowledge.

Автор: Woolombi Waters, Marcus
Название: Indigenous Knowledge Production
ISBN: 036746019X ISBN-13(EAN): 9780367460198
Издательство: Taylor&Francis
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Цена: 44910.00 T
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Описание: Indigenous Knowledge Production specifically demonstrates the use of autobiographical ethnicity as a methodological approach, where the writer draws on lived experience and ethnic background towards creative and academic writing.

Автор: Woolombi Waters, Marcus (griffith University, Australia)
Название: Indigenous knowledge production as interdisciplinary practice
ISBN: 1138218383 ISBN-13(EAN): 9781138218383
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: Indigenous Knowledge Production specifically demonstrates the use of autobiographical ethnicity as a methodological approach, where the writer draws on lived experience and ethnic background towards creative and academic writing.

Автор: Martin De Saulles
Название: Information 2.0: New models of information production, distribution and consumption
ISBN: 1783302917 ISBN-13(EAN): 9781783302918
Издательство: Facet
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Цена: 168960.00 T
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Описание: This textbook provides an overview of the digital information landscape and explains the implications of the technological changes for the information industry, from publishers and broadcasters to the information professionals who manage information in all its forms.

Автор: Clive Opie, Desma Brown
Название: Getting Started in Your Educational Research: Design, Data Production and Analysis
ISBN: 1526424029 ISBN-13(EAN): 9781526424020
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание: A one-stop shop for anyone undertaking educational research for the first time, this text focuses on the development and application of key skills necessary for successful research.

Автор: Clive Opie, Desma Brown
Название: Getting Started in Your Educational Research: Design, Data Production and Analysis
ISBN: 1526424010 ISBN-13(EAN): 9781526424013
Издательство: Sage Publications
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Цена: 117210.00 T
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Описание: A one-stop shop for anyone undertaking educational research for the first time, this text focuses on the development and application of key skills necessary for successful research.

Автор: Viacheslav Karmalita
Название: Digital Processing of Random Oscillations
ISBN: 3110625008 ISBN-13(EAN): 9783110625004
Издательство: Walter de Gruyter
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Цена: 111510.00 T
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Описание: This book deals with the autoregressive method for digital processing of random oscillations. The method is based on a one-to-one transformation of the numeric factors of the Yule series model to linear elastic system characteristics. This parametric approach allowed to develop a formal processing procedure from the experimental data to obtain estimates of logarithmic decrement and natural frequency of random oscillations. A straightforward mathematical description of the procedure makes it possible to optimize a discretization of oscillation realizations providing efficient estimates. The derived analytical expressions for confidence intervals of estimates enable a priori evaluation of their accuracy. Experimental validation of the method is also provided. Statistical applications for the analysis of mechanical systems arise from the fact that the loads experienced by machineries and various structures often cannot be described by deterministic vibration theory. Therefore, a sufficient description of real oscillatory processes (vibrations) calls for the use of random functions. In engineering practice, the linear vibration theory (modeling phenomena by common linear differential equations) is generally used. This theory’s fundamental concepts such as natural frequency, oscillation decrement, resonance, etc. are credited for its wide use in different technical tasks. In technical applications two types of research tasks exist: direct and inverse. The former allows to determine stochastic characteristics of the system output X(t) resulting from a random process E(t) when the object model is considered known. The direct task enables to evaluate the effect of an operational environment on the designed object and to predict its operation under various loads. The inverse task is aimed at evaluating the object model on known processes E(t) and X(t), i.e. finding model (equations) factors. This task is usually met at the tests of prototypes to identify (or verify) its model experimentally. To characterize random processes a notion of "shaping dynamic system" is commonly used. This concept allows to consider the observing process as the output of a hypothetical system with the input being stationary Gauss-distributed ("white") noise. Therefore, the process may be exhaustively described in terms of parameters of that system. In the case of random oscillations, the "shaping system" is an elastic system described by the common differential equation of the second order: X ?(t)+2hX ?(t)+ ?_0^2 X(t)=E(t), where ?0 = 2?/Т0 is the natural frequency, T0 is the oscillation period, and h is a damping factor. As a result, the process X(t) can be characterized in terms of the system parameters – natural frequency and logarithmic oscillations decrement ? = hT0 as well as the process variance. Evaluation of these parameters is subjected to experimental data processing based on frequency or time-domain representations of oscillations. It must be noted that a concept of these parameters evaluation did not change much during the last century. For instance, in case of the spectral density utilization, evaluation of the decrement values is linked with bandwidth measurements at the points of half-power of the observed oscillations. For a time-domain presentation, evaluation of the decrement requires measuring covariance values delayed by a time interval divisible by T0. Both estimation procedures are derived from a continuous description of research phenomena, so the accuracy of estimates is linked directly to the adequacy of discrete representation of random oscillations. This approach is similar a concept of transforming differential equations to difference ones with derivative approximation by corresponding finite differences. The resulting discrete model, being an approximation, features a methodical error which can be decreased but never eliminated. To render such a presentation more accurate it is imperative to decrease the discretization interval and to increase realization size growing requirements for computing power. The spectral density and covariance function estimates comprise a non-parametric (non-formal) approach. In principle, any non-formal approach is a kind of art i.e. the results depend on the performer’s skills. Due to interference of subjective factors in spectral or covariance estimates of random signals, accuracy of results cannot be properly determined or justified. To avoid the abovementioned difficulties, the application of linear time-series models with well-developed procedures for parameter estimates is more advantageous. A method for the analysis of random oscillations using a parametric model corresponding discretely (no approximation error) with a linear elastic system is developed and presented in this book. As a result, a one-to-one transformation of the model’s numerical factors to logarithmic decrement and natural frequency of random oscillations is established. It allowed to develop a formal processing procedure from experimental data to obtain the estimates of ? and ?0. The proposed approach allows researchers to replace traditional subjective techniques by a formal processing procedure providing efficient estimates with analytically defined statistical uncertainties.

Автор: Teija Rantala
Название: Exploring Data Production in Motion: Fluidity and Feminist Poststructuralism
ISBN: 1975501152 ISBN-13(EAN): 9781975501150
Издательство: Mare Nostrum (Eurospan)
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Цена: 38810.00 T
Наличие на складе: Нет в наличии.
Описание: With open-ended methods and poststructuralist theory and analysis, this book offers tools to approach and to examine challenging and controversial topics ethically. It argues that to examine data of ""individual"" experience and aspirations requires examining the process of the data production in which these were ""produced"".

Автор: Teija Rantala
Название: Exploring Data Production in Motion: Fluidity and Feminist Poststructuralism
ISBN: 1975501144 ISBN-13(EAN): 9781975501143
Издательство: Mare Nostrum (Eurospan)
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Цена: 99790.00 T
Наличие на складе: Нет в наличии.
Описание: With open-ended methods and poststructuralist theory and analysis, this book offers tools to approach and to examine challenging and controversial topics ethically. It argues that to examine data of ""individual"" experience and aspirations requires examining the process of the data production in which these were ""produced"".