Analyzing spatial models of choice and judgment, Armstrong, David A., Ii (university Of Western Ontario) Bakker, Ryan (university Of Georgia) Carroll, Royce Hare, Christopher (university Of Californi

Автор: Armstrong Ii
Название: Analyzing Spatial Models Of Choice
ISBN: 1138715336 ISBN-13(EAN): 9781138715332
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: How to apply spatial models using R to a wide range of data used in political science. Models are similar to multidimensional scaling models long used in Psychology and MDS models overage. Aimed at graduate students and researchers with basic knowledge of R, a "how to." In second edition, chapters updated to reflect these new R packages.

Автор: David Andrew Kendrick
Название: Models for Analyzing Comparative Advantage
ISBN: 9401076197 ISBN-13(EAN): 9789401076197
Издательство: Springer
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Цена: 130430.00 T
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Описание: Recent economic history suggests that a key element in economic growth and development for many countries has been an aggressive export policy and a complementary import policy.

Автор: Ang Clifford S.
Название: Analyzing Financial Data and Implementing Financial Models Using R
ISBN: 3030641546 ISBN-13(EAN): 9783030641542
Издательство: Springer
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Цена: 74530.00 T
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Описание: This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models.

Автор: Marta Blangiardo,Michela Cameletti
Название: Spatial and Spatio–temporal Bayesian Models with R – INLA
ISBN: 1118326555 ISBN-13(EAN): 9781118326558
Издательство: Wiley
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Цена: 63310.00 T
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Описание: Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics.

Автор: G.L. Gaile; C. Willmott
Название: Spatial Statistics and Models
ISBN: 9027716188 ISBN-13(EAN): 9789027716187
Издательство: Springer
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Цена: 277650.00 T
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Описание: In the last decade, geographers significantly -augmented their methodologi- cal base by developing quantitative techniques which are specifically directed towards analysis of explicitly spatial problems.

Автор: G.L. Gaile; C. Willmott
Название: Spatial Statistics and Models
ISBN: 9048183855 ISBN-13(EAN): 9789048183852
Издательство: Springer
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Цена: 277650.00 T
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Описание: In the last decade, geographers significantly -augmented their methodologi- cal base by developing quantitative techniques which are specifically directed towards analysis of explicitly spatial problems.

Автор: Donald A. Dawson; Andreas Greven
Название: Spatial Fleming-Viot Models with Selection and Mutation
ISBN: 3319021524 ISBN-13(EAN): 9783319021522
Издательство: Springer
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Цена: 46570.00 T
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Описание:

Introduction.- Emergence and fixation in the F-W model with two types.- Formulation of the multitype and multiscale model.- Formulation of the main results in the general case.- A Basic Tool: Dual Representations.- Long-time behaviour: ergodicity and non-ergodicity.- Mean-field emergence and fixation of rare mutants (Phase 1,2).- Methods and proofs for the F-W model with two types.- Emergence, fixation with M >= 2 lower order types.- Emergence, fixation: The general (M, M)-type mean-field model.- Neutral evolution on E₁ after fixation (Phase 3).- Re-equilibration on higher level E₁ (Phase 4).- Iteration of the cycle I: Emergence and fixation on E₂.- Iteration of the cycle - the general multilevel hierarchy.- Winding-up: Proofs of the Theorems 3-11.- Appendix 1 - Tightness.- Appendix 2. Nonlinear semigroup perturbations.- References.- Index of Notation and Tables of Basic Objects.- Index.

Автор: Chi, Guangqing Zhu, Jun
Название: Spatial regression models for the social sciences
ISBN: 154430207X ISBN-13(EAN): 9781544302072
Издательство: Sage Publications
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Цена: 88710.00 T
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Описание: Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.

Автор: Lloyd, Christopher D.
Название: Local Models for Spatial Analysis
ISBN: 0367864932 ISBN-13(EAN): 9780367864934
Издательство: Taylor&Francis
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Цена: 54090.00 T
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Описание: With new chapters addressing spatial patterning in single variables and spatial relations, this second edition provides guidance to a wide variety of real-world problems. Focusing on solutions, it presents a complete introduction to key concepts and a clear mapping of the methods discussed. The text explores connections betwe

Автор: Hodges James S.
Название: Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects
ISBN: 0367533731 ISBN-13(EAN): 9780367533731
Издательство: Taylor&Francis
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Цена: 64300.00 T
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Описание: This book takes a first step in developing a full theory of richly parameterized models, which would allow statisticians to better understand their analysis results.

Автор: Douglas E. Critchlow
Название: Metric Methods for Analyzing Partially Ranked Data
ISBN: 0387962883 ISBN-13(EAN): 9780387962887
Издательство: Springer
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Цена: 130430.00 T
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Описание: A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice, *. The problem thus becomes one of ex- tending metrics on the permutation group to metrics on a coset space of the permutation group.

Автор: Jau-Lian Jeng
Название: Analyzing Event Statistics in Corporate Finance
ISBN: 1349484814 ISBN-13(EAN): 9781349484812
Издательство: Springer
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Цена: 81050.00 T
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Описание: "Analyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance. In contrast to conventional surveys or literature reviews, Jeng focuses on various methodological defects or deficiencies that lead to inaccurate empirical results, which ultimately produce bad corporate policies. This work discusses the issues of data collection and structure, the recursive smoothing for systematic components in excess returns, the choices of event windows, different time horizons for the events, and the consequences of applications of different methodologies. In providing improvement for event studies in corporate finance, and based on the fact that changes in parameters for financial time series are common knowledge, a new alternative methodology is developed to extend the conventionalanalysis to more robust arguments. "--