Periodical (Journal)

ISSN  :   0040-1706 ( Print )   |   1537-2723 ( Online )   Active
Aim & Scope

The mission of Technometrics is to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences. Its content features papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of statistics or science, when such papers are consistent with the journal's mission. Application of proposed methodology is justified, usually by means of an actual problem in the physical, chemical, or engineering sciences. Papers in the journal reflect modern practice. This includes an emphasis on new statistical approaches to screening, modeling, pattern characterization, and change detection that take advantage of massive computing capabilities. Papers also reflect shifts in attitudes about data analysis (e.g., less formal hypothesis testing, more fitted models via graphical analysis), and in how important application areas are managed (e.g., quality assurance through robust design rather than detailed inspection). [1]

Go to Website

2024
10 RESULTS in 20 msec
2024-02-22

Image Comparison Based On Local Pixel Clustering

No authors listed.

Technometrics , 2024 , pp 1-19.

10.1080/00401706.2024.2322670

0 0

2024-01-22

Moving sum procedure for change point detection under piecewise linearity

No authors listed.

Technometrics , 2024 , pp 1-19.

10.1080/00401706.2024.2308202

0 0

2024-01-18

Discrepancy measures for global sensitivity analysis

No authors listed.

Technometrics , 2024 , pp 1-19.

10.1080/00401706.2024.2304341

0 0

2024-02-20

Screening the Discrepancy Function of a Computer Model

No authors listed.

Technometrics , 2024 , pp 1-22.

10.1080/00401706.2024.2319138

0 0

2024-02-22

Deep Latent Factor Model for Spatio-Temporal Forecasting

No authors listed.

Technometrics , 2024 , pp 1-24.

10.1080/00401706.2024.2322661

0 0

2024-02-21

Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems

No authors listed.

Technometrics , 2024 , pp 1-25.

10.1080/00401706.2024.2320211

0 0

2024-01-10

Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning

No authors listed.

Technometrics , 2024 , pp 1-25.

10.1080/00401706.2024.2304334

0 0

2024-02-22

An Adaptive Sampling Strategy for Real-time Anomaly Detection with Unmanned Sensing Vehicles

No authors listed.

Technometrics , 2024 , pp 1-26.

10.1080/00401706.2024.2322645

0 0

2024-02-09

Transfer Learning with Large-Scale Quantile Regression

No authors listed.

Technometrics , 2024 , pp 1-30.

10.1080/00401706.2024.2315952

0 0

2024-02-07

Bayesian Optimization via Exact Penalty

No authors listed.

Technometrics , 2024 , pp 1-41.

10.1080/00401706.2024.2315937

0 0