Statistics for Business/Economics/Mathematical Finance/Insurance.
概要
作品: | 305 作品在 234 項出版品 234 種語言 |
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書目資訊
Advances in Ranking and Selection, Multiple Comparisons, and Reliability :Methodology and Applications /
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The econometrics of panel datafundamentals and recent developments in theory and practice /
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Hedonic methods in housing marketspricing environmental amenities and segregation /
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(書目-語言資料,印刷品)
Dynamic model analysisadvanced matrix methods and unit-root econometrics representation theorems /
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Statistical inference, econometric analysis and matrix algebrafestschrift in honour of Gotz Trenkler /
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Complex and chaotic nonlinear dynamicsadvances in economics and finance, mathematics and statistics /
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The practice of econometric theoryan examination of the characteristics of econometric computation /
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Introduction to engineering statistics and lean sigmastatistical quality control and design of experiments and systems /
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Advances in degradation modelingapplications to reliability, survival analysis, and finance /
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Theory of stochastic processeswith applications to financial mathematics and risk theory /
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Copula theory and its applicationsproceedings of the Workshop Held in Warsaw, 25-26 September 2009 /
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A concise guide to market researchthe process, data, and methods using IBM SPSS statistics /
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Introduction to insurance mathematicstechnical and financial features of risk transfers /
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Parametric statistical change point analysiswith applications to genetics, medicine, and finance /
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Excel 2010 for educational and psychological statisticsa guide to solving practical problems /
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Empirical modelling in regional sciencetowards a global time-space-structural analysis /
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Business statistics for competitive advantage with Excel 2010basics, model building, and cases /
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Business statistics for competitive advantage with Excel 2007basics, model building, and cases /
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Defining the spatial scale in modern regional analysisnew challenges from data at local level /
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Probability and statistical modelsfoundations for problems in reliability and financial mathematics /
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Quantitative energy financemodeling, pricing, and hedging in energy and commodity markets /
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Recent advances in estimating nonlinear modelswith applications in economics and finance /
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Exploratory data analysis in business and economicsan introduction using SPSS, Stata, and Excel /
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A concise guide to market researchthe process, data, and methods using IBM SPSS statistics /
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Inference on the Hurst parameter and the variance of diffusions driven by fractional Brownian motion
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Excel 2010 for human resource management statisticsa guide to solving practical problems /
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Modelling and simulation in managementeconometric models used in the management of organizations /
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Benefit transfer of environmental and resource valuesa guide for researchers and practitioners /
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Marshall-Olkin distributionsadvances in theory and applications, Bologna, Italy, October 2013 /
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Service industry databookunderstanding and analyzing sector specific data across 15 nations /
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Introduction to insurance mathematicstechnical and financial features of risk transfers /
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Indexation and causation of financial marketsnonstationary time series analysis method /
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Quantitative modeling of operational risk in finance and banking using possibility theory
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The distribution of Income and wealthparametric modeling with the κ-generalized family /
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Time series analysis and forecastingselected contributions from the ITISE Conference /
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Rethinking risk in national securitylessons of the financial crisis for risk management /
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Open data in Southeast Asiatowards economic prosperity, government transparency, and citizen participation in the ASEAN /
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Revenue management in manufacturingstate of the art, application and profit impact in the process industry /
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Students' experiences and perspectives on secondary educationinstitutions, transitions and policy /
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Business statistics for competitive advantage with Excel 2016basics, model building, simulation and cases /
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Options and derivatives programming in C++algorithms and programming techniques for the financial industry /
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Essentials of Excel, Excel VBA, SAS and Minitab for statistical and financial analyses
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Engineering mathematics Ielectromagnetics, fluid Mechanics, material physics and financial engineering /
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The manual of strategic economic decision makingusing Bayesian belief networks to solve complex problems /
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Innovations in derivatives marketsfixed income modeling, valuation adjustments, risk management, and regulation /
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Introduction to statistics and data analysiswith exercises, solutions and applications in R /
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Engineering mathematics IIalgebraic, stochastic and analysis structures for networks, data classification and optimization /
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Quantitative data analysisa companion for accounting and information systems research /
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Assessing the economic impact of tourisma computable general equilibrium modelling approach /
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Statistical tools for program evaluationmethods and applications to economic policy, public health, and education /
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Advances in time series analysis and forecastingselected contributions from ITISE 2016 /
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Identifying stock market bubblesmodeling illiquidity premium and bid-ask prices of financial securities /
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Growth curve models and applicationsIndian Statistical Institute, Giridih, India, March 28-29, 2016 /
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Analysing inequalities in Germanya structured additive distributional regression approach /
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Copulas and dependence models with applicationscontributions in honor of Roger B. Nelsen /
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Actuarial sciences and quantitative financeICASQF2016, Cartagena, Colombia, June 2016 /
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Partial least squares path modelingbasic concepts, methodological issues and applications /
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Majorization and the Lorenz order with applications in applied mathematics and economics
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Advances in growth curve and structural equation modelingtopics from the Indian Statistical Institute : proceedings 2017 /
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Credit-risk modellingtheoretical foundations, diagnostic tools, practical examples, and numerical recipes in Python /
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Decision science in actiontheory and applications of modern decision analytic optimisation /
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A concise guide to market researchthe process, data, and methods using IBM SPSS statistics /
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