摘要:

ABSTRACTThe purpose of this study was to examine the effects of different interdisciplinary problem‐oriented formats on a student's knowledge of and retention of disciplinary concepts and principles, his application of these concepts and principles to disciplinary problems, and his use of a discipline in his analysis of a complex problem. Performances of students enrolled in the experimental sections were compared to those of students enrolled in standard lecture‐discussion sections. Regression analysis was used to analyze students' performance in order to control the effects of differences in student backgrounds.It was found that altering the pedagogical format and reward system within the experimental sections had no significant effect upon student performances in the experimental, problem‐oriented program. In general, this study indicates that students taught in the standard lecture‐discussion format in which grades are determined by examination over course material retain concepts and principles, apply these concepts and principles to disciplinary problems, and integrate disciplinary concepts into their analysis of complex problems as well as, if not better than, students taught in an interdisciplinary, problem‐solvi

ISSN:0011-7315    

DOI:10.1111/j.1540-5915.1976.tb00662.x

出版商:Blackwell Publishing Ltd    

年代:1976

数据来源: WILEY

摘要:

ABSTRACTThe entropy measureH=−σpilogpiis being used with increasing frequency in the analysis of business and economic data. It is, however, simply another measure of dispersion which can be related to the moments of the probability function. Its virtues stem from its decomposition and interpretative properties. This paper surveys the uses to which the measure has been put in the literature, and discusses whether its use has been appropriate and innovati

ISSN:0011-7315    

DOI:10.1111/j.1540-5915.1976.tb00663.x

出版商:Blackwell Publishing Ltd    

年代:1976

数据来源: WILEY

摘要:

ABSTRACTAlthough spectral analysis has previously been discussed in a number of business journals, the discussion has not been detailed enough for non‐mathematicians. The objective of this paper is to review in detail the concepts and to go over the computations of spectral analysis as they pertain to forecasting.To gain insight into the model building technique of spectral analysis, a passing comparison with a familiar model–regression–is made. Regression analysis attempts to find a set of independent variables that shed some light on the dependent variable to be forecasted. In other words, if the independent variables have some functional relationship with the dependent variable, a reliable forecast of the dependent variable can then be made.Forecasting using spectral analysis, on the other hand, is based on the assumption that the variation of a time series can be explained by some mixture of sine and cosine waves. Model parameters can then be estimated for these waves and forecasts be made. These parameters have the same property of least squares as in ordinary regression analysis. A transformation of these parameters gives the spectra of the time series. The spectra are related to the explained variation present in regression analysis. An extension of the spectra gives a set of coefficients of an autoregressive forecasting model. This latter model is referred to as the Wiener‐Kolmogorov forecastin

ISSN:0011-7315    

DOI:10.1111/j.1540-5915.1976.tb00664.x

出版商:Blackwell Publishing Ltd    

年代:1976

数据来源: WILEY

摘要:

ABSTRACTThis paper demonstrates the use of computer‐based multivariate techniques in analysing survey data and segmenting markets. Such techniques are increasingly used to deal with the vast amounts of data currently being collected by market researchers. Three techniques are illustrated and compared in detail‐regression analysis, AID, and cluster analysis. These methods have wide application in marketing. A simple data set is used to illustrate their principles and comparative advanta

ISSN:0011-7315    

DOI:10.1111/j.1540-5915.1976.tb00665.x

出版商:Blackwell Publishing Ltd    

年代:1976

数据来源: WILEY

ISSN:0011-7315    

DOI:10.1111/j.1540-5915.1976.tb00666.x

出版商:Blackwell Publishing Ltd    

年代:1976

数据来源: WILEY

摘要:

ABSTRACTTorrance [4] has proposed a “new” approach to finding an initial solution of a linear programming problem for use in conjunction with the dual simplex algorithm. The purpose of this note is to comment on two aspects of that paper. Firstly, Torrance's method is not new at all, but was proposed in 1958 by Wagner. Secondly, the method can be implemented much more efficiently than Torrance sugge

ISSN:0011-7315    

DOI:10.1111/j.1540-5915.1976.tb00667.x

出版商:Blackwell Publishing Ltd    

年代:1976

数据来源: WILEY