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  • Trends in Quantitative Finance
    understanding what quantitative methods in finance are, and what they are best used for, rather than trying to achieve this mastery on their own. But for quantitative methods to be used and appreciated in the investment community, one needs a primer on the topic for a nontechnical audience. The current monograph...
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  • Anova 2
    Practical Regression and Anova using R Julian J. Faraway July 2002 1 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprofit academic purposes — a nominal charge to cover the expense...
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  • Shambhu Kumar
    Equations Schaum’s Easy Outline: Discrete Mathematics Schaum’s Easy Outline: Elementary Algebra Schaum’s Easy Outline: Geometry Schaum’s Easy Outline: Linear Algebra Schaum’s Easy Outline: Mathematical Handbook of Formulas and Tables Schaum’s Easy Outline: Precalculus Schaum’s Easy Outline: Probability and...
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  • Foundations of real and abstact analysis
    two together, we get effective solutions for the practical problems. The basic approach in GP modeling is to attempt to express a practical problem, such as an engineering analysis or design problem, in GP format. In the best case, this formulation is exact; when this is not possible, we settle for an...
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  • Stats
    Although the relationship between the response variable Y and the explanatory variable X is a straight line in a simple linear regression, all data points in this regression are not laying on this straight line. The differences are the residuals which display how much the observed values differ from the...
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  • Time Series
    Objectives of Analysis We will attempt to model the “Future Total Reserves” of a country using continuous current global economic monitors. We aim to obtain a good model that will be reliable in predicting the future reserves using current data. In this question we aim to obtain a regression relationship using...
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  • Statistics
    limits, correlation, regression, t-test, χ2-test and ANOVA) using Excel. 1 Descriptive statistics mean, median, mode standard deviation, standard error, confidence interval scatter graphs, bar graphs error bars, lines Pearson coefficient, Spearman coefficient linear regression 2 Graphing data ...
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  • Research Paper-Neural Networks
    problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurones. This is true of...
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  • AP Statistics 1st Quarter Study Guide
    Sections 1.1 and 1.2 I. Observation vs. Experiment A. Observational study: Record data on individuals without attempting to influence the responses. We typically cannot prove anything this way. B. Experimental study: Deliberately impose a treatment on individuals and record their responses. Influential...
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  • Avatar Story
    cost-behavior estimation 2. Describe linear cost functions and three common ways in which they behave 3. Understand various methods of cost estimation 4. Outline six steps in estimating a cost function using quantitative analysis 5. Describe three criteria used to evaluate and choose cost drivers 6. Explain and...
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  • Essay
    The SOFTWARE and documentation are provided with RESTRICTED RIGHTS. Use, duplication, or disclosure by the Government is subject to restrictions as set forth in subdivision (c)(1)(ii) of the Rights in Technical Data and Computer Software clause at 52.227-7013. Contractor/manufacturer is SPSS Inc., 233...
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  • Bivariate Regression
    Linear Regression Models 1 SPSS for Windows® Intermediate & Advanced Applied Statistics Zayed University Office of Research SPSS for Windows® Workshop Series Presented by Dr. Maher Khelifa Associate Professor Department of Humanities and Social Sciences College of Arts and Sciences © Dr. Maher...
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  • Multilevel Data
    of individuals. For now, we are concerned only with the fact of such hierarchies not their provenance. The principal applications we shall deal with are those from the social sciences, but the techniques are of course applicable more generally. In subsequent chapters, as we develop the theory and techniques...
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  • Wgarbleting
    sensor or instrument; 4. • a careful study of one or more of the properties of a sensor or instrument; 5. • a comparison of methods of measuring the same thing. We will provide you with a list of possible activities from which you can choose. You are assessed on your ability to do the following: ...
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  • Andy Field, Discovering Statistics
    variable = true and meaningful zero point - Discrete variable can only take certain values (whole numbers) on the scale, continuous variable can take all the values on the scale. * Validity and reliability Measurement error = a discrepancy between the numbers we use to represent the thing we’re measuring...
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  • Hkust Corporate Finance Teaching Note
    CAPM - Risk and Return Risk and return are central concepts in finance. How to deal with risk is a key issue in financial industry. In this chapter, we study risk and return systematically. Some motivation examples: Example 1: the relationship between risk and return Conclusion: Small stocks had...
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  • University of Karachi
    Probability Distribution with Corresponding Simulated Frequency Distributions ................ 133 (b) Fitting a Binomial Distribution............................................... 135 (c) Fitting a Poisson Distribution................................................. 136 5.2 5.3 5.4 ...
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  • hgjhgjhj
    leaf burn, leaf drop or in extreme cases kill the bamboo plant entirely. http://www.ehow.com/info_8577560_temperature-can-bamboo-grow.html I will choose the temperature to be the explanatory variable and the growth to be the response variable because I want to investigate if there is a relationship...
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  • Bayesian Inference
    Biostatistics (2010), 11, 3, pp. 397–412 doi:10.1093/biostatistics/kxp053 Advance Access publication on December 4, 2009 Bayesian inference for generalized linear mixed models YOUYI FONG Downloaded from http://biostatistics.oxfordjournals.org/ at Cornell University Library on April 20, 2013 Department of...
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