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関連する概念動画

The R Chart01:02

The R Chart

In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
Production Efficiency01:01

Production Efficiency

Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
Related Rates01:18

Related Rates

When two or more physical quantities are linked by a single relationship, a change in one variable necessarily affects the others. This interdependence forms the basis of related rates analysis, which examines how different quantities change with respect to time. A classic physical example is an expanding balloon, where the size of the balloon changes continuously as air is added.For a hot air balloon, the inflated envelope is commonly idealized as a perfect sphere to simplify mathematical...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
Interpreting R Charts01:22

Interpreting R Charts

R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum values—of a sample...

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関連する実験動画

Updated: Jul 11, 2026

Research and Development of High-performance Explosives
10:33

Research and Development of High-performance Explosives

Published on: February 20, 2016

研究開発,生産性,インフレ

E Mansfield

    Science (New York, N.Y.)
    |September 5, 1980
    PubMed
    まとめ

    研究開発 (R&D) は,生産性を高めることでインフレを低下させることができます. しかし,高いインフレは,研究開発活動を含む経済効率を損なうものであり,研究開発支出データを歪めることもあります.

    科学分野:

    • 経済学 経済学
    • イノベーション研究 イノベーション研究
    • 経済政策 経済政策

    背景:

    • 高いインフレ率は経済システムに悪影響を及ぼし,様々な活動の効率を低下させる.
    • 研究開発 (R&D) は,生産性の成長と経済発展において重要な役割を果たします.
    • 研究開発投資の正確な測定は,その経済的影響を理解するために不可欠です.

    研究 の 目的:

    • R&Dとインフレの関係を分析する.
    • インフレが研究開発の効率化に与える影響を調査する.
    • R&D支出計算の正確性を評価する.

    主な方法:

    • R&Dが生産性とインフレに及ぼす影響の経済分析.
    • R&Dを含む経済活動に対するインフレの悪影響の検討.
    • 1969年から1979年の研究開発支出データの統計分析.

    主要な成果:

    • 研究開発は,生産性を高めることによって,中長期的にインフレを大幅に抑制することができます.
    • 高いインフレ率は経済効率を低下させ,研究開発活動を妨げます.
    • 1969年から1979年にかけての実際の研究開発支出の増加は,GNPデフレレータの不適切な使用により過大評価されている可能性があります.

    さらに関連する動画

    Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
    06:16

    Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

    Published on: June 6, 2020

    関連する実験動画

    Last Updated: Jul 11, 2026

    Research and Development of High-performance Explosives
    10:33

    Research and Development of High-performance Explosives

    Published on: February 20, 2016

    Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
    06:16

    Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

    Published on: June 6, 2020

    結論:

    • R&Dへの投資は,長期的にインフレを抑制するための実行可能な戦略です.
    • 政策は,低インフレ率を維持し,研究開発に有利な環境を育むことを目指すべきです.
    • R&D支出の正確な測定には,方法論的な改善が必要である.