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Model Order Selection for Boolean Matrix Factorization
Model Order Selection for Boolean Matrix Factorization

... The columns of B are selected from the columns of X, after the latter have been rounded to Boolean columns. The threshold t for the rounding is a user-specified parameter. The selection of columns of B happens in a greedy fashion: each not-used column of rounded X is tried, and the selected column i ...
electronic word-of-mouth via consumer
electronic word-of-mouth via consumer

... Online community research has not yet analyzed the product-related communication behavior between community members nor the resulting marketing implications. A valuable exception is Balasubramanian and Mahajan (2001), who, based on an extensive review of different streams of the virtual-community li ...
NBER WORKING PAPER SERIES Jonathan Skinner Douglas Staiger
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... It is my belief that in the long run, and cross-sectionally, these [sociological] variables tend to cancel themselves out, leaving the economic variables as the major determinants of the pattern of technological change. This does not imply that the “sociological” variables are not important if one w ...
Ade Yulisa 10212141 Effendy Napitupulu
Ade Yulisa 10212141 Effendy Napitupulu

... product. Indeed the company which becomes the object of the research is one of the Market Leader already experienced and certified by standardization of the product that is already recognized by the institutions of the standardization of the world that one of them is the Singapore Green Label. But w ...
STRATEGIC MANAGEMENT
STRATEGIC MANAGEMENT

... How do economic factors affect our business in the “world of tomorrow, NOT today”? • More & more people on retirement - demographics => greater $ burden on the state treasury => need to compensate for increased outflow of $ into pension funds and healthcare sys. by: a) raising taxes - THREAT b) issu ...
Regression Analysis
Regression Analysis

... the prediction model developed is a valid use of regression analysis or whether it violates some of the necessary assumptions. Objective: Use Excel to analyze the residuals from the model. Data file is Patients.xls ...
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5. Feature EXTRACTION y reducción de la dimensión

... data onto a new subspace so that a maximum of relevant information is preserved ...
Sensory Marketing is to Flourish or Perish
Sensory Marketing is to Flourish or Perish

... variables. This is a parametric test. The objective of the study is to find the impact of sensory marketing tools on improved perception and stimuli for brand loyalty of customers. For this study, researcher used probability (p-value) to decide the level of significance or insignificance .To analyze ...
Demographic factors that influence tourists
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... phenomenally. It also makes it difficult to understand weaknesses, strengths and the future of the all-inclusive sector. As a way of understanding this phenomenon better, a conceptual analysis of Jamaica’s all-inclusive hotels was undertaken using material derived from documented sources and intervi ...
Linear discriminant analysis
Linear discriminant analysis

... very sensitive to the exact choice of training data, and it is often necessary to use regularisation as described in the next section. Other generalizations of LDA for multiple classes have been defined to address the more general problem of heteroscedastic distributions (i.e., where the data distr ...
Customer Expectations of Service
Customer Expectations of Service

...  Individual, stable factors that lead the customer to a higher understanding of the service. This can be driven by another person or a group of people. Personal Needs  Lasting service intensifiers are also driven by an individual’s personal service philosophy. ...
modeling the macro- environmental factors
modeling the macro- environmental factors

... international trade specialists should be concerned vigilantly. The other three influences can set lower priority from top management due to their dependency on the top three challenges. The study limits its focus on the international distribution that activities are performed across national bounda ...
egerton university
egerton university

... Variable – A characteristic that differs from one individual to the next Deviation Score - Difference between the mean and a raw score x-x Observational unit (observation) --- single individual who participates in a study Random Variables - Variables describe the properties of an object or populatio ...
Factors affecting Coca-Cola*s consumer satisfaction
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... consumer satisfaction governs the amount of sales ...
choice of multivariate technique and its used for widgecorp
choice of multivariate technique and its used for widgecorp

... evaluate the results to ensure accuracy. MDS: uses respondents preferences instead of preset attributes; has the respondent compare the similarities between products and compare them to their vision of the perfect (ideal) product; charts the responses on a perceptual map (a grid with both X and Y ax ...
Segmentation: Foundation of Marketing Strategy
Segmentation: Foundation of Marketing Strategy

... segmentation lies in differentiating customers into groups so as to effectively reach subsets of customers. Market segmentation strives to identify groups of customers who share commonalities yet whose characteristics are distinguishable from other customer groups. It is extremely helpful to profile ...
Developing Competitive Advantage and Strategic Focus
Developing Competitive Advantage and Strategic Focus

... 1. Focus – Good strategy does not diffuse the company's efforts across all key factors of competition (the value curve clearly shows focus in the strategy). 2. Divergence – Good strategy differs from other competitors in the market (the value curve is unique from competitors). 3. Compelling Tagline ...
The Study and Prioritization of the Role of Market Segmentation
The Study and Prioritization of the Role of Market Segmentation

... consumers in the greatest expected return for a firm best meets (Weddle, Kamakura, 2002). Segmentation strategies can help leaders in search of new production opportunities, promotional messages and provide a closer match to consumers (Sharp et al 1998). In retail banking, economic or demographic cr ...
A compositional approach to stable isotope data analysis
A compositional approach to stable isotope data analysis

... Isotope data variability is very small compared with variability of chemical data. But if a joint analysis of isotopic and geochemical information is desired (e.g., for discrimination, regression analysis or endmember modelling), these two types of variables must be somehow pooled together. Though s ...
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... F = MS(Marketing*Media)/MSE = .09 Fcritical = Fa,(a-1)(b-1),n-ab = F.05,(3-1)(2-1),60-(3)(2) = 3.17 (p-value= .9171) ...
Clustering
Clustering

... • Meaning? If highly correlated variables are used for cluster analysis, specific aspects covered by these variables will be overrepresented in the clustering solution. • In this regard, absolute correlations above 0.90 are always problematic. • For example, measuring happiness and joy of a person. ...
Data Mining in GeoVISTA Studio
Data Mining in GeoVISTA Studio

... Attributes selected in the AttributeList component are then passed to the AssigningWeights component, where the user can specify a weight for each attribute (see figure 3). The more weight one attribute gets (compared to other attributes' weights), the more influence it will have in the subsequent a ...
Marketing Research
Marketing Research

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[20]). [15), [2), [9], [6], [7], [17], [22], [11], and [19
[20]). [15), [2), [9], [6], [7], [17], [22], [11], and [19

... depends on its parents. Unfortunately this means that in the most general case we need to specify an expo­ nential (in the number of parents) number of condi­ tional probabilities for each node. There are many cases where there is structure in the probability ta­ bles. One such case that we investig ...
ICA 2-2: IN-CLASS ACTIVITY
ICA 2-2: IN-CLASS ACTIVITY

... Learning Objective. To have students do a marketing plan that lets them apply the strategic marketing process to highlight the key issues in assessing a marketing opportunity. Definitions. The following marketing terms are referred to in this in-class activity (ICA): ...
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Factor analysis

Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in four observed variables mainly reflect the variations in two unobserved variables. Factor analysis searches for such joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations of the potential factors, plus ""error"" terms. The information gained about the interdependencies between observed variables can be used later to reduce the set of variables in a dataset. Computationally this technique is equivalent to low-rank approximation of the matrix of observed variables. Factor analysis originated in psychometrics and is used in behavioral sciences, social sciences, marketing, product management, operations research, and other fields that deal with data sets where there are large numbers of observed variables that are thought to reflect a small number of latent variables.Factor analysis is related to principal component analysis (PCA), but the two are not identical. Latent variable models, including factor analysis, use regression modelling techniques to test hypotheses producing error terms, while PCA is a descriptive statistical technique. There has been significant controversy in the field over the equivalence or otherwise of the two techniques (see exploratory factor analysis versus principal components analysis).
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