THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

计量经济分析 = Econometric analysis

The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it. This paper reviews the important results from these studies and also presents new ideas and alternative interpretations which further explain the success of the EnKF. In addition to providing the theoretical framework needed for using the EnKF, there is also a focus on the algorithmic formulation and optimal numerical implementation. A program listing is given for some of the key subroutines. The paper also touches upon specific issues such as the use of nonlinear measurements, in situ profiles of temperature and salinity, and data which are available with high frequency in time. An ensemble based optimal interpolation (EnOI) scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications. A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias.

The Ensemble Kalman Filter: Theoretical formulation and practical implementation

https://www.ece.lsu.edu/mcu/lawss/add_materials/FaultDetectionPart1.pdf

A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods

A review of process fault detection and diagnosis: Part III: Process history based methods

The present study was planned to assess physiological cost of work, musculoskeletal problem and perceived exertion faced by male and female workers in performance of makhana processing. 20 male and 20 female workers adopted through snowball sampling from Manigachhi block, Darbhanga district of Bihar state. The results of the study indicated that the different activities of both male (90%) and female (100%) in storage of seeds perceived “Very heavy” activity. It was observed that average TCCW of both male and female workers was found to be highest while performing storage of seeds of (3720 beats)) and female (3820 beats). Likewise the average PCW of both male (62.66 beats/min) and female (63.66 beats/min) workers was more during storage of seeds activity. The majority of the respondents both male (80%) and female (85%) were found suffered from “Very Severe” knee pain due to tempering and roasting activities. 

Ergonomic assessment of male and female workers engaged in makhana processing

Moving horizon estimator for nonlinear and non-Gaussian stochastic disturbances

In sensor placement literature, reliability has been considered to be a point value, corresponding to a specific time. Thus, sensor placement obtained by maximizing reliability changes if time were changed. We propose a cumulative residual Kullback-Leibler divergence based sensor placement formulation for fault detection and diagnosis, which explicitly incorporates time. The formulation also provides an opportunity to the end-user to specify the target performance for sensor placement. Further, we use a greedy algorithm to solve proposed sensor placement design problem. We illustrate the applicability of the approach using a benchmark case study.

Mani Bhushan

Papers

Ergonomic assessment of male and female workers engaged in makhana processing

Moving horizon estimator for nonlinear and non-Gaussian stochastic disturbances

Information Theoretic Approach to Reliability Based Sensor Placement for Fault Detection and Diagnosis

pyGNMF: A Python library for implementation of generalised non-negative matrix factorisation method

Constrained profile estimation for distributed parameter system in one dimension using orthogonal collocation