1. |
The EditorTechnometrics |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 1-1
NormanL. Johnson,
Preview
|
PDF (78KB)
|
|
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486124
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
2. |
Testing for Three or Fewer Outliers in Two-Way Tables |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 9-15
N.R. Draper,
J.A. John,
Preview
|
PDF (670KB)
|
|
摘要:
In John and Draper (1978), tests for outliers in two-way tables were discussed. A test statisticQKwas considered (see Gentleman and Wilk, 1975b), and was shown to be the sum of squares of successive adjusted normalized uncorrelated residuals. Percentage points for a test statistic involving maximumQKin the one and two outlier cases were estimated by Monte Carlo generations. Formula approximations to these percentage points were suggested.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486095
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
3. |
Application of the Kalman Filter to inventory Control |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 17-22
D.J. Downing,
D.H. Pike,
G.W. Morrison,
Preview
|
PDF (590KB)
|
|
摘要:
This paper presents a brief introduction to state estimation techniques, in particular Kalman filtering. A description of the Kalman filter and its properties is given. An example employing a three-state K, alman filter is given which highlights the modeling capabilities of the estimation technique. The example, concerned with estimating material loss, is contrasted with the standard CUSUM control chart statistic.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486096
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
4. |
An Optimum Component Testing Procedure for a Series System With Redundant Subsystems |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 23-27
M. Mazumdar,
Preview
|
PDF (428KB)
|
|
摘要:
We consider the problem of optimizing component testing for a series system with redundant subsystems so as to minimize the total cost of testing given the requirements: the probability of accepting the system must be less than α if the system reliability is less thanR0, and the probability of rejecting the system must be less than β if the system reliability is greater thanR1. This problem was solved previously for a series system under the acceptance criterion that the total number of test failures is less than a prescribed numberk. That result is extended in this paper to cover the more general case of a series system that has built-in redundancy in that it consists of subsystems each of which contains several identical components in parallel. The optimum value ofkand the associated component testing times which will satisfy the above probability requirements are obtained. These requirements can be guaranteed only ifR1is larger than a value that depends onR0. The optimum testing time is shown to be independent of the individual component testing costs.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486097
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
5. |
Jackknifing in Nonlinear Regression |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 29-33
Terry Fox,
David Hinkley,
Kinley Larntz,
Preview
|
PDF (431KB)
|
|
摘要:
The standard jackknife and two linear jackknife methods based on a single fit are compared in the context of nonlinear regression fitting. Emphasis is on determination of confidence regions for parameters, where we find that the standard jackknife may be inferior.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486098
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
6. |
A Three-Stage Iterative Procedure for Space-Time Modeling Phillip |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 35-47
PhillipE. Pfeifer,
StuartJay Deutrch,
Preview
|
PDF (1211KB)
|
|
摘要:
A three-stage iterative procedure for building space-time models is presented. These models fall into the general class of STARIMA models and are characterized by autoregressive and moving average terms lagged in both time and space. This model class collapses into the ARIMA model class in the absence of spatial correlation. The theoretical properties of STARIMA models are presented and the model building procedure is described and illustrated by a substantive example.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486099
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
7. |
Inflation of R2in Best Subset Regression |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 49-53
AlvinC. Rencher,
FuCeayong Pun,
Preview
|
PDF (452KB)
|
|
摘要:
When subset selection is used in regression the expected value ofR2is substantially inflated above its value without selection, especially when the number of observations is less than the number of predictor variables. The extent of this increase was investigated by a Monte Carlo simulation. Tables are given with average values and percentage points ofR2for the null case of independence between the response variable and the predictor variables. Approximation formulas are provided to supplement the coverage in the tables.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486100
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
8. |
Robustness to Spurious Observations of Linearized Hodges-Lehmann Estimators and Anscombe Estimators |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 55-63
Irwin Guttman,
CharlesH. Kraft,
Preview
|
PDF (635KB)
|
|
摘要:
Some recent literature has been devoted to the discussion of estimation of parameters in the presence ofspuriousobservations, that is, observations generated from a source not intended. When this type ofcontaminationis feared, estimators that guard against this possibility are desired, and once defined, their performance, measured by their premiums and protections, is of interest.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486101
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
9. |
Bayesian Analysis of the Two-Parameter Gamma Distribution |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 65-69
RobertB. Miller,
Preview
|
PDF (462KB)
|
|
摘要:
This paper presents a Bayesian analysis of shape, scale, and mean of the two-parameter gamma distribution. Attention is given to conjugate and “non-informative” priors, to simplifications of the numerical analysis of posterior distributions, and to comparison of Bayesian and classical inferences.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486102
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|
10. |
Some Bayesian Inferences for a Changing Linear Model |
|
Technometrics,
Volume 22,
Issue 1,
1980,
Page 71-78
J.H. Chin Choy,
L.D. Broemeling,
Preview
|
PDF (724KB)
|
|
摘要:
This paper is a generalization of earlier studies by Ferreira (1975) and Holbert and Broemeling (1977), who used improper prior distributions in order to make informal Bayesian inferences for the shift point and other parameters of a changing linear model. In this study, normal-gamma distributions are employed as prior distributions for the regression parameters of the model and, as a result, the posterior distribution of the regression parameters are mixtures oftdistributions, while a mixture of gamma distributions is the posterior distribution of the precision parameter.
ISSN:0040-1706
DOI:10.1080/00401706.1980.10486103
出版商:Taylor & Francis Group
年代:1980
数据来源: Taylor
|