ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481600

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

An age-dependent compartment model is applied in a novel way to survival data. Analysis is performed of data from an “improved survival experiment” which incorporates serial sacrifice, and tests of hypotheses of dependent diseases are obtained. Problems dealing with identifiability of models are emphasized and discussed. Finally, these ideas are illustrated in connection with experimental data from mice exposed to radiation.

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481601

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

This article explores the stochastic properties and prediction performance of several economic time series both before and after adjustment by the U.S. Bureau of the Census X-11 seasonal adjustment program. The results suggest that within the class of auto-regressive-integrated-moving-average models, seasonally adjusted data do not yield consistently improved predictions and, in many circumstances, produce forecasts which are less accurate than those obtained using the unadjusted data.

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481602

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Items that are counted may lack a natural ordering or classification by factors. This article develops a data-analytic technique for dealing with the distribution, often very long-tailed, of such counts. The technique, applied to counts of words from large texts in Greek, French, and English, discovers a set of word frequency distributions dependent on word length. A form of the incomplete gamma function estimates the expected number of words of a specified length.

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481603

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

In this article a technique for detecting shift of scale parameter in a sequence of independent gamma random variables is discussed. Distribution theories and related properties of the test statistic are investigated. Numerical critical points and test powers are tabulated for two specific variables. Other useful techniques are also summarized. The methods are then applied to the analysis of stock-market returns and air traffic flows. These two examples are studied in detail to illustrate the use of the proposed method compared to other available techniques. The empirical examples also illuminate the importance of the treatment of stochastic instability in statistical applications.

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481604

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Rao and Griliches (1969) compared several methods of parameter estimation in models having autocorrelated errors. They concluded that nonlinear least squares estimators were not superior to two-stage linear estimators. This study partially replicates the Rao and Griliches Monte Carlo simulation and, in addition, examines the maximum likelihood estimator as a possible competitor. The simulation results are not consistent with those of Rao and Griliches; the small-sample efficiency of nonlinear and maximum likelihood estimators appears to be consistently high and thus reverses some of Rao and Griliches's conclusions.

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481605

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

The robustness of Hotelling's one- and two-sample tests is investigated by Monte Carlo methods. Samples are presented from uniform, exponential, and lognormal distributions. The results show that the two-sample test is far more robust to departures from normality than the one-sample test, and that the latter may be badly affected by departures due to extreme skewness.

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481606

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481607

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481608

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Weather modification provides a fertile field for interaction and collaboration between meteorologists and statisticians. Cloud seeding experiments, including Project Whitetop, provide a background for illustrating some of the statistical issues in meteorological field experimentation and for exposing some of the difficulties that can arise when meteorologists and statisticians look at the same experiments from different points of view. Several specific points relating to statistics and statisticians, raised by meteorologists involved in weather modification, are discussed.

ISSN:0162-1459    

DOI:10.1080/01621459.1979.10481609

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor