Regressive Analysis ∗
نویسنده
چکیده
The regressive analytical method which can be generally understood as the way backward occurs in science on different levels. In scientific practice it represent research, i. e., activities of scientists when looking for the conditions necessary to solve given problems. On the methodological level it stands for ordering a given set of statements, and, finally, on the foundational level it gives a justification for the starting points of deductions. In the first section the paper gives a historical survey of regressive analysis concentrating on three paradigmatic examples: (1) Pappus’s definition of analysis and synthesis, (2) the definition of method that can be found in the so-called “Logic of Port Royal”, and (3) David Hilbert’s definition of the axiomatic method as a procedure for setting up axiomatic systems. In the second section the scepticism of traditional philosophy of science concerning the regressive method is reflected. The reason for this scepticism might be that regressive analysis is not completely logically determined, but has elements of contingency, creativity and intuition. Die regressive Methode, die allgemein als rückschreitendes Verfahren charakterisiert werden kann, kommt in den Wissenschaften auf verschiedenen Ebenen vor. In der wissenschaftlichen Praxis repräsentiert sie die Forschung, also die Aktivitäten von Wissenschaftlern bei der Suche nach den Bedingungen, die notwendig erfüllt sein müssen, damit ein gegebenes Problem gelöst werden kann. Auf der methodologischen Ebene steht sie für das Ordnen einer gegebenen Menge von Sätzen und auf der Ebene der Grundlagen schließlich gibt sie die Rechtfertigung ∗A first version of this paper was presented on June 5, 2000, at the 2000 Bled Conference in Philosophy on Philosophical Analysis, and on August 14, 2000, at the Department of Philosophy of the University of La Plata, Argentina. An earlier version of this paper was published in a Spanish translation (Peckhaus 2000 ).
منابع مشابه
Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data
In order to evaluate the skin surface temperature (SSST) estimation accuracy with MODIS data, 84 of MODIS scenes together with the match-up data of NCEP/GDAS are used. Through regressive analysis, it is found that 0.305 to 0.417 K of RMSE can be achieved. Furthermore, it also is found that band 29 is effective for atmospheric correction (30.6 to 38.8% of estimation accuracy improvement). If sin...
متن کاملRegressive Voice Assimilation in Swedish
This paper examines the occurrence of regressive voice assimilation in Swedish. Six speakers of Central Standard Swedish were recorded and the voicing conditions in stop-fricative and stop-stop clusters were analyzed. The findings indicate that regressive devoicing of lenis stops (/b d g/) occurs only when followed by /t/, but not /s/. This contradicts claims in the literature regarding the nat...
متن کاملParameter uncertainty effects on variance-based sensitivity analysis
In the past several years there has been considerable commercial and academic interest in methods for variance-based sensitivity analysis. The industrial focus is motivated by the importance of attributing variance contributions to input factors. A more complete understanding of these relationships enables companies to achieve goals related to quality, safety and asset utilization. In a number ...
متن کاملRice Crop Quality Evaluation Method through Regressive Analysis between Nitrogen Content and Near Infrared Reflectance of Rice Leaves Measured from Near Field
Rice crop quality evaluation method through regressive analysis between nitrogen content in the rice leaves and near infrared reflectance measurement data from near field, from radio wave controlled helicopter is proposed. Rice quality dependency on nitrogen of chemical fertilizer and water supply condition is evaluated. Also homogeneity of the rice crop quality in the paddy fields is evaluated...
متن کاملA Switchgrass-based Bioethanol Supply Chain Network Design Model under Auto-Regressive Moving Average Demand
Switchgrass is known as one of the best second-generation lignocellulosic biomasses for bioethanol production. Designing efficient switchgrass-based bioethanol supply chain (SBSC) is an essential requirement for commercializing the bioethanol production from switchgrass. This paper presents a mixed integer linear programming (MILP) model to design SBSC in which bioethanol demand is under auto-r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2000