Xem 1-20 trên 45 kết quả Quantitative technology
  • Technological change is today central to the theory of economic growth (Teixeira and Fortuna, 2010). It is recognized as an important driver of productivity growth and the emergence of new products from which consumers derive welfare (Verspagen, 2010).

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  • The rapid pace in which trace analysis is changing has warranted the writing of a second edition in a relatively short period. What is new? The second edition attempts to move the reader from the most elementary of principles of trace environmental quantitative analysis (TEQA) to those techniques and applications currently being practiced in analytical laboratories dedicated to trace environmental chemical and trace environmental health quantitative analysis while adding new significant topics....

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  • The computing world today is in the middle of a revolution: mobile clients and cloud computing have emerged as the dominant paradigms driving programming and hardware innovation today. The Fifth Edition of Computer Architecture focuses on this dramatic shift, exploring the ways in which software and technology in the cloud are accessed by cell phones, tablets, laptops, and other mobile computing devices. Each chapter includes two real-world examples, one mobile and one datacenter, to illustrate this revolutionary change....

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  • From the interior of the Sun, to the upper atmosphere and near-space environment of Earth, and outward to a region far beyond Pluto where the Sun’s influence wanes, advances during the past decade in space physics and solar physics—the disciplines NASA refers to as heliophysics—have yielded spectacular insights into the phenomena that affect our home in space. This report, from the National Research Council’s (NRC’s) Committee for a Decadal Strategy in Solar and Space Physics, is the second NRC decadal survey in heliophysics.

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  • Praise from the Reviewers: "The practicality of the subject in a real–world situation distinguishes this book from others available on the market." — Professor Behrouz Far , University of Calgary "This book could replace the computer organization texts now in use that every CS and CpE student must take. . . . It is much needed, well written, and thoughtful." — Professor Larry Bernstein , Stevens Institute of Technology A distinctive, educational text onsoftware performance and scalability

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  • The Fifth Edition of Computer Architecture focuses on this dramatic shift, exploring the ways in which software and technology in the cloud are accessed by cell phones, tablets, laptops, and other mobile computing devices. Each chapter includes two real-world examples, one mobile and one datacenter, to illustrate this revolutionary change.

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  • The Potential of Soil Survey Data in a Quantitative Evaluation of Surficial Geology Mapping in Northern Maine by Rosalia Evans Thesis submitted to the Eberly College of Arts and Sciences at West Virginia University in partial fulfillment of the requirements for the degree of Master of Arts in Geography

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  • Chapter 9 - Enabling the organization - decision making. After studying this chapter you will be able to: Define the systems organizations use to make decisions and gain competitive advantages, describe the three quantitative models typically used by decision support systems, describe the relationship between digital dashboards and executive information systems, list and describe four types of artificial intelligence systems.

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  • C H A P T E R 1 Setting off. Chapter objectives This chapter will help you to: ■ assess the importance businesses attach to quantitative method.s ■ make full use of this book. ■ apply arithmetical procedures. ■ use the technology: calculators and computer software.

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  • C H A P T E R 4 Filling up – fuelling quantitative analysis Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ understand key statistical terms distinguish between primary and secondary data recognize different types of data arrange data using basic tabulation and frequency distributions use the technology: arrange data in EXCEL, MINITAB and SPSS.

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  • C H A P T E R 2 Getting linear models straight Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ plot and solve linear equations apply basic break-even analysis interpret inequalities undertake simple linear programming using graphs use the technology: Solver in EXCEL become acquainted with business uses of linear programming

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  • C H A P T E R 16 Test driving – sampling theory, estimation and hypothesis testing Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ ■ understand the theory behind the use of sample results for prediction make use of the t distribution and appreciate its importance construct and interpret interval estimates of population means and population proportions work out necessary sample sizes for interval estimation carry out tests of hypotheses about population means, proportions and medians, and draw appropriate conclusions from them use the technology; the t distr...

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  • C H A P T E R 7 Two-way traffic – summarizing and representing relationships between two variables Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ explore links between quantitative variables using bivariate analysis measure association between quantitative variables using Pearson’s product moment correlation coefficient and the coefficient of determination quantify association in ordinal data using Spearman’s rank correlation coefficient represent the connection between two quantitative variables using simple linear regression analysis use the technology...

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  • ..Applied and Numerical Harmonic Analysis Series Editor John J. Benedetto University of Maryland Editorial Advisory Board Akram Aldroubi Vanderbilt University Ingrid Daubechies Princeton University Christopher Heil Georgia Institute of Technology James McClellan Georgia Institute of Technology Michael Unser Swiss Federal Institute of Technology, Lausanne M. Victor Wickerhauser Washington University Douglas Cochran Arizona State University Hans G.

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  • C H A P T E R 5 Good visibility – pictorial presentation of data Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ illustrate qualitative data using pictographs, bar charts and pie charts portray quantitative data using histograms, cumulative frequency charts and stem and leaf displays present bivariate quantitative data using scatter diagrams display time series data using time series charts use the technology:

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  • C H A P T E R 13 Smooth running – continuous probability distributions and basic queuing theory Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ make use of the normal distribution and appreciate its importance employ the Standard Normal Distribution to investigate normal distribution problems apply the exponential distribution and be aware of its usefulness in analysing queues analyse a simple queuing system use the technology: continuous probability distribution become acquainted with business uses of the normal distribution...

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  • C H A P T E R 15 Taking short cuts – sampling methods Chapter objectives This chapter will help you to: ■ ■ ■ appreciate the reasons for sampling understand sampling bias and how to avoid it employ probabilistic sampling methods and be aware of their limitations ■ use the technology: simple random sampling in MINITAB and SPSS ■ become acquainted with business uses of sampling methods

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  • Globally, the production quantities of agricultural commodities are increasingly fluctuating, and crop yields are low in relation to the needs of the world population. Furthermore, arthropod pests destroy 20-30% of the world’s food supply every year. They damage agricultural crops and harvested food, as well as transmit diseases to humans and animals. Stored-product insects infest raw grain, processed cereals, warehouses, and flour and feed mills. The presence of insects in commodities or structures leads to quantitative and qualitative losses of grain and processed food....

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  • C H A P T E R 6 General directions – summarizing data Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ understand and use summary measures of location; the mode, median and arithmetic mean understand and use summary measures of spread; the range, quartiles, semi inter-quartile range, standard deviation, variance present order statistics using boxplots find summary measures from grouped data use the technology: summarize data in EXCEL,

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  • C H A P T E R 9 Long distance – analysing time series data Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ identify the components of time series employ classical decomposition to analyse time series data produce forecasts of future values of time series variables apply exponential smoothing to analyse time series data use the technology:

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