title: Construction of resolvable spatial row-column designs

authors: Williams, E.R.

subjects: average efficiency factor

abstract: Resolvable row–column designs are widely used in field trials to control variation and improve the precision of treatment comparisons. Further gains can often be made by using a spatial model or a combination of spatial and incomplete blocking components. Martin, Eccleston, and Gleeson (1993, Journal of Statistical Planning and Inference34, 433–450) presented some general principles for the construction of robust spatial block designs which were addressed by spatial designs based on the linear variance (LV) model. In this article we define the two-dimensional form of the LV model and investigate extensions of the Martin et al. principles for the construction of resolvable spatial row–column designs. The computer construction of efficient spatial designs is discussed and some comparisons made with designs constructed assuming an autoregressive variance structure.

text: Construction of resolvable spatial row-column designs Resolvable row–column designs are widely used in field trials to control variation and improve the precision of treatment comparisons. Further gains can often be made by using a spatial model or a combination of spatial and incomplete blocking components. Martin, Eccleston, and Gleeson (1993, Journal of Statistical Planning and Inference34, 433–450) presented some general principles for the construction of robust spatial block designs which were addressed by spatial designs based on the linear variance (LV) model. In this article we define the two-dimensional form of the LV model and investigate extensions of the Martin et al. principles for the construction of resolvable spatial row–column designs. The computer construction of efficient spatial designs is discussed and some comparisons made with designs constructed assuming an autoregressive variance structure.

year: 2006

title: Text categorization using compression models

authors: Frank, Eibe

abstract: Text categorization, or the assignment of natural language texts to predefined categories based on their content, is of growing importance as the volume of information available on the internet continues to overwhelm us. The use of predefined categories implies a “supervised learning” approach to categorization, where already-classified articles—which effectively define the categories—are used as “training data” to build a model that can be used for classifying new articles that comprise the “test data.” This contrasts with “unsupervised” learning, where there is no training data and clusters of like documents are sought amongst the test articles. With supervised learning, meaningful labels (such as
keyphrases) are attached to the training documents, and appropriate labels can be assigned automatically to test documents depending on which category they fall into.

text: Text categorization using compression models Text categorization, or the assignment of natural language texts to predefined categories based on their content, is of growing importance as the volume of information available on the internet continues to overwhelm us. The use of predefined categories implies a “supervised learning” approach to categorization, where already-classified articles—which effectively define the categories—are used as “training data” to build a model that can be used for classifying new articles that comprise the “test data.” This contrasts with “unsupervised” learning, where there is no training data and clusters of like documents are sought amongst the test articles. With supervised learning, meaningful labels (such as
keyphrases) are attached to the training documents, and appropriate labels can be assigned automatically to test documents depending on which category they fall into.

year: 2000

title: Informed consent in the Aotearoa New Zealand context

authors: Cargo, Tania

abstract: Psychologists are in very privileged positions; we use our clinical, community, academic, and research skills to support individuals, families, and communities, often during extremely vulnerable times in their lives. Psychologists have specific duties and responsibilities to not only offer a competent and ethical service, but to ensure that clients have been engaged in an open and honest process of gaining informed consent before a psychological service is offered, and either accepted or declined by the client (Knapp, Gottlieb, & Handelsman, 2015; Nagy, 2011).

text: Informed consent in the Aotearoa New Zealand context Psychologists are in very privileged positions; we use our clinical, community, academic, and research skills to support individuals, families, and communities, often during extremely vulnerable times in their lives. Psychologists have specific duties and responsibilities to not only offer a competent and ethical service, but to ensure that clients have been engaged in an open and honest process of gaining informed consent before a psychological service is offered, and either accepted or declined by the client (Knapp, Gottlieb, & Handelsman, 2015; Nagy, 2011).

year: 2016