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Quantitative Descriptive Analysis
Developed by Tragon Corporation in 1974, Quantitative Descriptive Analysis (QDA) is a behavioral sensory evaluation Sensory analysis (or sensory evaluation) is a scientific discipline that applies principles of experimental design and statistical analysis to the use of human senses (sight, smell, taste, touch and hearing) for the purposes of evaluating consum ... approach that uses descriptive panels to measure a product’s sensory characteristics. Panel members use their senses to identify perceived similarities and differences in products, and articulate those perceptions in their own words. Sensory evaluation is a science that measures, analyzes, and interprets the reactions of the senses of sight, smell, sound, taste, and texture (or kinesthesis) to products. It is a people science; i.e., people are essential to obtain information about products. Tragon QDA is a registered trademark with the United States Patent and Trademark Office. The term was coined by Herbert Stone (a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Tragon Corporation
''Tragon'' is a genus of longhorn beetles of the subfamily Lamiinae Lamiinae, commonly called flat-faced longhorns, are a subfamily of the longhorn beetle family (Cerambycidae). The subfamily includes over 750 genera, rivaled in diversity within the family only by the subfamily Cerambycinae Cerambycinae is a s ..., Retrieved on 8 September 2014. containing the following species: * '' Tragon lugens'' (White, 1858) * '' Tragon mimicus'' (Bates, 1890) * '' Tragon pulcher'' Breuning, 1942 * '' [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sensory Evaluation
Sensory analysis (or sensory evaluation) is a scientific discipline that applies principles of experimental design and statistical analysis to the use of human senses (sight, smell, taste, touch and hearing) for the purposes of evaluating consumer products. The discipline requires panels of human assessors, on whom the products are tested, and recording the responses made by them. By applying statistical techniques to the results it is possible to make inferences and insights about the products under test. Most large consumer goods companies have departments dedicated to sensory analysis. Sensory analysis can mainly be broken down into three sub-sections: * Analytical testing (dealing with objective facts about products) * Affective testing (dealing with subjective facts such as preferences) * Perception (the biochemical and psychological aspects of sensation) Analytical testing This type of testing is concerned with obtaining ''objective facts'' about products. This could rang ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
SRI International (SRI)
Shri (; , ) is a Sanskrit term denoting resplendence, wealth and prosperity, primarily used as an honorific. The word is widely used in South and Southeast Asian languages such as Marathi, Malay (including Indonesian and Malaysian), Javanese, Balinese, Sinhala, Thai, Tamil, Telugu, Hindi, Nepali, Malayalam, Kannada, Sanskrit, Pali, Khmer, and also among Philippine languages. It is usually transliterated as ''Sri'', ''Sree'', ''Shri'', Shiri, Shree, ''Si'', or ''Seri'' based on the local convention for transliteration. The term is used in Indian subcontinent and Southeast Asia as a polite form of address equivalent to the English "Mr." in written and spoken language, but also as a title of veneration for deities or as honorific title for local rulers. Shri is also another name for Lakshmi, the Hindu goddess of wealth, while a ''yantra'' or a mystical diagram popularly used to worship her is called Shri Yantra. Etymology Monier-Williams Dictionary gives the meaning of the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
List Of SRI International Spin-offs
This is a list of spin-offs from SRI International. SRI International SRI International (SRI) is an American nonprofit scientific research institute and organization headquartered in Menlo Park, California. The trustees of Stanford University established SRI in 1946 as a center of innovation to support economic d ... (SRI), previously known as Stanford Research Institute, is a research and innovation center. To bring its breakthroughs to the marketplace, SRI licenses technology and works with investment and venture capital firms to launch a wide variety of ventures. SRI has launched more than 60 spin-off ventures; this includes four public companies with combined market capitalizations exceeding $20 billion. Engineering and systems Legal, policy and finance Information and computing sciences Biosciences Health science Food science Physical sciences See also * List of SRI International people External links SRI Ventures References {{reflist, colwidth=30em SRI I ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Level Of Measurement
Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal, ordinal, interval, and ratio. This framework of distinguishing levels of measurement originated in psychology and is widely criticized by scholars in other disciplines. Other classifications include those by Mosteller and Tukey, and by Chrisman. Stevens's typology Overview Stevens proposed his typology in a 1946 ''Science'' article titled "On the theory of scales of measurement". In that article, Stevens claimed that all measurement in science was conducted using four different types of scales that he called "nominal", "ordinal", "interval", and "ratio", unifying both " qualitative" (which are described by his "nominal" type) and "quantitative" (to a different degree, all the rest of his scales). The conc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Analysis Of Variance
Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means. ANOVA was developed by the statistician Ronald Fisher. ANOVA is based on the law of total variance, where the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether two or more population means are equal, and therefore generalizes the ''t''-test beyond two means. In other words, the ANOVA is used to test the difference between two or more means. History While the analysis of variance reached fruition in the 20th century, antecedents extend centuries into the past according to Stigler. These include hypothesis testing, the partitioning of sums of squares, experimental techniques and the additive model. Laplace was performing hypothesis testing ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Duncan's New Multiple Range Test
In statistics, Duncan's new multiple range test (MRT) is a multiple comparisons, multiple comparison procedure developed by David B. Duncan in 1955. Duncan's MRT belongs to the general class of multiple comparison procedures that use the studentized range statistic ''q''''r'' to compare sets of means. David B. Duncan developed this test as a modification of the Student–Newman–Keuls method that would have greater power. Duncan's MRT is especially protective against Type I and type II errors, false negative (Type II) error at the expense of having a greater risk of making Type I and type II errors, false positive (Type I) errors. Duncan's test is commonly used in agronomy and other agricultural research. The result of the test is a set of subsets of means, where in each subset means have been found not to be significantly different from one another. This test is often followed by the Compact Letter Display (CLD) methodology that renders the output of such test much more accessibl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Principal Component Analysis
Principal component analysis (PCA) is a popular technique for analyzing large datasets containing a high number of dimensions/features per observation, increasing the interpretability of data while preserving the maximum amount of information, and enabling the visualization of multidimensional data. Formally, PCA is a statistical technique for reducing the dimensionality of a dataset. This is accomplished by linearly transforming the data into a new coordinate system where (most of) the variation in the data can be described with fewer dimensions than the initial data. Many studies use the first two principal components in order to plot the data in two dimensions and to visually identify clusters of closely related data points. Principal component analysis has applications in many fields such as population genetics, microbiome studies, and atmospheric science. The principal components of a collection of points in a real coordinate space are a sequence of p unit vectors, where th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pearson Coefficient
In statistics, the Pearson correlation coefficient (PCC, pronounced ) ― also known as Pearson's ''r'', the Pearson product-moment correlation coefficient (PPMCC), the bivariate correlation, or colloquially simply as the correlation coefficient ― is a measure of linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1. As with covariance itself, the measure can only reflect a linear correlation of variables, and ignores many other types of relationships or correlations. As a simple example, one would expect the age and height of a sample of teenagers from a high school to have a Pearson correlation coefficient significantly greater than 0, but less than 1 (as 1 would represent an unrealistically perfect correlation). Naming and history It was developed by Karl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
