Factor Analysis in Discriminating the Racial Origin of Sockeye Salmon (Oncorhynchus nerka)

1974 ◽  
Vol 31 (1) ◽  
pp. 1-10 ◽  
Author(s):  
H. B. Messinger ◽  
H. T. Bilton
Keyword(s):  
Factor Analysis ◽  
Discriminant Analysis ◽  
Sockeye Salmon ◽  
Oncorhynchus Nerka ◽  
Factor Scores ◽  
Discriminant Functions ◽  
Varimax Rotation ◽  
Racial Origin ◽  
Usual Procedure ◽  
New Variables

A comparison was made between the procedure of factoring variables before using them in discriminant analysis and the usual procedure of using the original variables in discriminant analysis. The results indicated factoring seven scale measurements on sockeye salmon (Oncorhynchus nerka) with varimax rotation produced four new variables which gave more valid results in classifying sockeye salmon by area of origin than the original variables when discriminant functions were computed. Although the results on the basic data from which the functions were derived were not as good using the four factor scores as the seven original variables, the accuracy of classification was much more consistent in the test data with the factor scores. The loss in accuracy was at least [Formula: see text] times as great for functions based on the original variables as for ones based on factor scores. The errors in classifying fish to their individual places of origin were perhaps too large for the procedure to be useful in the field, but the accuracy of classification to the British Columbia or Alaska region was quite high.

scholarly journals The identification and perceived importance of dimensions of managerial success for different levels of management

1995 ◽  
Vol 21 (2) ◽  
Author(s):  
M. P. Loubser ◽  
L. C. De Jager
Keyword(s):  
Factor Analysis ◽  
Analysis Of Variance ◽  
Principal Components ◽  
Relative Importance ◽  
Factor Scores ◽  
Varimax Rotation ◽  
Managerial Success ◽  
Perceived Importance ◽  
Different Levels ◽  
Multiple Analysis

Dimensions or factors related to managerial success were identified from the literature and a list of 78 generic dimensions compiled. These dimensions were rated in terms of their relative importance for every level of management by 241 managers on junior, middle and senior levels. A principal components factor analysis with varimax rotation was performed on the data and nine factors or clusters of dimensions were extracted. The resulting factor scores were then subjected to a multiple analysis of variance. Results indicate that the importance of these factors differ significantly across the three levels of management. The implications of the findings are discussed in both theoretical and practical terms. Opsomming Dimensies of faktore wat met bestuursukses verband hou is uit die literatuur gei'dentifiseer en 'n lys van 78 generiese dimensies is saamgestel. Hierdie dimensies se relatiewe belangrikheid vir eike bestuursvlak is deur 241 bestuurders op junior, middel en senior vlak beoordeel. 'n Hoofkomponent faktorontleding met varimax rotasie is op die data uitgevoer en nege faktore of groepe dimensies is onttrek. Die resulterende faktortellings is daarna aan 'n meervoudige analise van variansie onderwerp. Resultate dui daarop dat die belangrikheid van hierdie faktore beduidend verskil oor die verskillende bestuursvlakke. Die implikasies van die bevindinge word in beide teoretiese en praktiese terme bespreek.

scholarly journals Identification of the relationship between some characteristics of native walnut genotypes peculiar to Darende district of Malatya province: Use of factor analysis scores in multiple linear regression

Genetika ◽  
2016 ◽  
Vol 48 (3) ◽  
pp. 923-932 ◽  
Author(s):  
Omer Beyhan ◽  
Ecevit Eyduran ◽  
Meleksen Akin ◽  
Sezai Ercisli ◽  
Kenan Gecer ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Extraction Method ◽  
Principal Component ◽  
Kernel Weight ◽  
Eastern Anatolia ◽  
Factor Scores ◽  
Varimax Rotation ◽  
Independent Variables ◽  
Selection Strategies ◽  
The Relationship

Two main aims of this investigation were to predict kernel ratio (KR) and kernel weight (KW) from some walnut characteristics, respectively. For these aims, a total of 112 Walnut genotypes growing in nature were collected at Darende District of Malatya province in the Eastern Anatolia region of Turkiye. The walnut characteristics evaluated were nut length (NL), nut width (NW), nut height (NH), nut weight (NWe), shell thickness (ST), kernel ratio (KR) and kernel weight (KW), respectively. Independent variables were subjected to factor analysis based on principal component extraction method and VARIMAX rotation. On the basis of jointly using factor scores in multiple regression, KR (81.3 % R2 and 80.6 % adjusted R2) and KW (94.7% R2 and 94.5% adjusted R2) characteristics were predicted by using four factor scores with a big accuracy without multicollinearity problem. Consequently, the present results revealed that, walnuts of heavier KW and NWe in the prediction of KR would be expected to produce those of higher KR, and walnuts of higher values in NH, NW, NWe, ST, NL, and KR in the prediction of KW would be expected to produce those of heavier KW. The knowledge may help walnut breeders to improve new selection strategies.

X-Ray Spectrometric and Multivariate Analysis of Sockeye Salmon (Oncorhynchus nerka) from Different Geographic Regions

1971 ◽  
Vol 28 (3) ◽  
pp. 369-377 ◽  
Author(s):  
J. R. Calaprice
Keyword(s):  
Multivariate Analysis ◽  
Sockeye Salmon ◽  
Oncorhynchus Nerka ◽  
Aquatic Organisms ◽  
Fluorescence Spectrometry ◽  
Chemical Compositions ◽  
Discriminant Functions ◽  
X Ray ◽  
Geographic Regions ◽  
Relative Similarity

The chemical composition of samples of fry and adult sockeye salmon (Oncorhynchus nerka) collected in different areas was characterized by X-ray fluorescence spectrometry. Multivariate analysis of the spectra indicate that fish taken from an area possess recognizably distinct chemical compositions. Discriminant functions computed using spectral data were used to classify unknowns successfully. The relative similarity of groups characterized by fluorescence spectrometry is shown by canonical analysis and the nature of the chemical differences is discussed. The results indicate that these aquatic organisms possess a chemoprint, a form of natural tag.

scholarly journals Data mining Application of Data Reduction and Clustering Domain of Textile Database

2020 ◽  
Vol 9 (4) ◽  
pp. 228-232
Keyword(s):  
Data Mining ◽  
Factor Analysis ◽  
Data Structure ◽  
Factor Scores ◽  
Varimax Rotation ◽  
Textile Fabrics ◽  
Number Of Factors ◽  
Rotation Methods ◽  
Variation Explained ◽  
Data Mining Application

This research paper attempts to identify the textile data structure and hidden pattern of original database with certain important parameters. The main objectives of this study are to identify the first n number of factors that explained over the study period. Initially factor analysis is performed to extract factor scores. Principal extraction is performed through Data mining package with sixteen textile fabrics parameters. Factor extraction is aimed to uncover the intrinsic pattern among the textile parameters considered and an important point of factor analysis is to extract factor scores for further investigation. Thus, factor analysis consistently resulted in three factors for the whole datasets. The amount of total variation explained is over 75 percent in factor analysis with varimax rotation. The factor loadings or factor structure matrix with unassociated rotation methods are not always easy to interpret. The nonhierarchical kmean clustering is also used to identify meaningful cluster based on their parameter means of original database.

The Structure Among Measures of Personality, Social Attitudes, Values, and Social Norms

2007 ◽  
Vol 28 (4) ◽  
pp. 240-251 ◽  
Author(s):  
Lazar Stankov
Keyword(s):  
Factor Analysis ◽  
Individual Differences ◽  
Social Norms ◽  
Social Interactions ◽  
Correlation Matrix ◽  
Social Attitudes ◽  
Group Differences ◽  
Factor Scores ◽  
Ethnic Group Differences ◽  
Inside Out

Abstract. This paper presents the results of a study that employed measures of personality, social attitudes, values, and social norms that have been the focus of recent research in individual differences. These measures were given to a sample of participants (N = 1,255) who were enrolled at 25 US colleges and universities. Factor analysis of the correlation matrix produced four factors. Three of these factors corresponded to the domains of Personality/Amoral Social Attitudes, Values, and Social Norms; one factor, Conservatism, cut across the domains. Cognitive ability showed negative correlation with conservatism and amoral social attitudes. The study also examined gender and ethnic group differences on factor scores. The overall interpretation of the findings is consistent with the inside-out view of human social interactions.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

Resumption of anadromy or straying? Origins of Sockeye Salmon Oncorhynchus nerka in the Elwha River

2021 ◽  
Author(s):  
Thomas P. Quinn ◽  
George R. Pess ◽  
Ben J.G. Sutherland ◽  
Samuel J. Brenkman ◽  
Ruth E. Withler ◽  
...  
Keyword(s):  
Sockeye Salmon ◽  
Oncorhynchus Nerka ◽  
Elwha River

Alternative Recruitment Models of Adams River Sockeye Salmon, Oncorhynchus nerka

1987 ◽  
Vol 44 (9) ◽  
pp. 1551-1561 ◽  
Author(s):  
Jeremy S. Collie ◽  
Carl J. Walters
Keyword(s):  
Sockeye Salmon ◽  
Oncorhynchus Nerka ◽  
Status Quo ◽  
Management Policy ◽  
Best Management ◽  
Interaction Terms ◽  
Ricker Model ◽  
The Status ◽  
Stock Recruitment ◽  
High Yields

Despite evidence of depensatory interactions among year-classes of Adams River sockeye salmon (Oncorhynchus nerka), the best management policy is one of equal escapement for all year-classes. We fit alternative models (Ricker model and Larkin model) to 32 yr of stock–recruitment data and checked, using simulation tests, that the significant interaction terms in the Larkin model are not caused by biases in estimating the parameters. We identified a parameter set (Rationalizer model) for which the status quo cyclic escapement policy is optimal, but this set fits the observed data very poorly. Thus it is quite unlikely that the Rationalizer model is correct or that the status quo escapement policy is optimal. Using the fitted stock–recruitment parameters, we simulated the sockeye population under several management policies. The escapement policy optimal under the Ricker model is best overall because of the high yields if it should be correct. If the three stock–recruitment models are equally likely to be correct, the simulations predict that adopting a constant-escapement policy would increase long-term yield 30% over the current policy and that an additional 15% increase in yield could be obtained if the policy were actively adaptive.

Reduced growth in wild juvenile sockeye salmon Oncorhynchus nerka infected with sea lice

2017 ◽  
Vol 91 (1) ◽  
pp. 41-57 ◽  
Author(s):  
S. C. Godwin ◽  
L. M. Dill ◽  
M. Krkošek ◽  
M. H. H. Price ◽  
J. D. Reynolds
Keyword(s):  
Sockeye Salmon ◽  
Oncorhynchus Nerka ◽  
Sea Lice
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