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Books on the topic 'Error vector'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Cipollini, Fabrizio. Vector multiplicative error models: Representation and inference. National Bureau of Economic Research, 2006.

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2

Stark, Tom. A Bayesian vector error corretions model of the U.S. economy. Federal Reserve Bank of Philadelphia, Economic Research Division, 1998.

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3

Vlaar, P. J. G. Monetary transmission and controllability of money in Europe: A structural vector error correction approach. De Nederlandsche Bank NV, 1999.

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4

Hyder, Kalim. Crowding out hypothesis in a vector error correction frame work, a case study of Pakistan. Social Policy and Development, 2002.

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5

Anderson, Richard G. Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators. Federal Reserve Bank of St. Louis, 2006.

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6

Lloyd, Tim. Testing a capital pricing model of land values: Cointegration and error correction in a vector auto-regression. Department of Economics, University of Nottingham, 1992.

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7

Mohey-ud-din, Ghulam. The Macroeconomic Analysis of Foreign Capital Inflows in Pakistan: A Re-Examination Using Vector Error Correction Approach. Grin Verlag, 2011.

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8

S, Madheswaran, and Institute for Social and Economic Change, eds. Casuality between energy consumption and output growth in Indian cement industry: An application of panel vector error correction model. Institute for Social and Economic Change, 2010.

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9

F, Huang Y., Stevenson Robert L, and United States. National Aeronautics and Space Administration., eds. [An efficient system for reliably transmitting image and video data over low bit rate noise]: An interim report. National Aeronautics and Space Administration, 1994.

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10

Babeshko, Lyudmila, and Irina Orlova. Econometrics and econometric modeling in Excel and R. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1079837.

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The textbook includes topics of modern econometrics, often used in economic research. Some aspects of multiple regression models related to the problem of multicollinearity and models with a discrete dependent variable are considered, including methods for their estimation, analysis, and application. A significant place is given to the analysis of models of one-dimensional and multidimensional time series. Modern ideas about the deterministic and stochastic nature of the trend are considered. Methods of statistical identification of the trend type are studied. Attention is paid to the evaluati

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11

Kurniyati, Yuli. Alokasi dan distribusi anggaran pemerintah daerah Tingkat II untuk sektor pendidikan serta pengaruhnya terhadap pertumbuhan ekonomi regional: Aplikasi Vector Error Correction Model pada kabupaten dan kota di Propinsi Daerah Istimewa Yogyakarta, 1990-2006 : laporan penelitian dosen muda. Fakultas Ekonomi, Universitas Proklamasi 45, 2008.

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12

Demetiradou, Helen. The teaching of the concept of vector in Greece: Some remarks onthe history of this concept and on the errors of the Greek pupils. [University of Surrey], 1994.

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13

United States. National Aeronautics and Space Administration., ed. Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report. National Aeronautics and Space Administration, 1985.

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14

United States. National Aeronautics and Space Administration., ed. Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report, appendix 5. National Aeronautics and Space Administration, 1985.

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15

United States. National Aeronautics and Space Administration., ed. Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report, appendix 5. National Aeronautics and Space Administration, 1985.

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16

United States. National Aeronautics and Space Administration., ed. Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report : [appendices]. National Aeronautics and Space Administration, 1985.

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17

Makroökonometrische Anpassungsanalyse im Vector-Error-Correction-Model (VECM): Untersuchungen an ausgewählten Arbeitsmarkten. P. Lang, 2003.

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18

Tissen, Colin, and E. Voisin. Effects of Monetary Policy in the Us. the Vector Error Correction Model (Vecm) Compared to the Structural Autoregressive Model (Svar). GRIN Verlag GmbH, 2017.

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19

Potential impact of the Sixth Five Year Plan on the relationship among exports, imports, remittances, and economic growth in Bangladesh: A vector error correction modeling analysis. 2011.

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20

Potential impact of the Sixth Five Year Plan on the relationship among exports, imports, remittances, and economic growth in Bangladesh: A vector error correction modeling analysis. 2011.

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21

Isett, Philip. Basic Technical Outline. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691174822.003.0003.

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This chapter provides a more technical outline of the construction, starting with a solution to the Euler-Reynolds system and a correction v₁ = v + V, p₁ = p + P. The correction V is a divergence free vector field which oscillates rapidly compared to v. In the construction, there will always be a bounded number of waves Vsubscript I (at most 192) which are nonzero at any given time t. Each individual wave Vsubscript I composing V is a complex-valued, divergence free vector field that oscillates rapidly in only one direction. The chapter introduces several ways in which to represent each Vsubsc

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22

Pevehouse, Jon, and Jason D. Brozek. Time‐Series Analysis. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0019.

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This article discusses time-series methods such as simple time-series regressions, ARIMA models, vector autoregression (VAR) models, and unit root and error correction models (ECM). It specifically presents a brief history of time-series analysis before moving to a review of the basic time-series model. It then describes the stationary models in univariate and multivariate analyses. The nonstationary models of each type are addressed. In addition, various issues regarding the analysis of time series including data aggregation and temporal stability are considered. Before concluding, the articl

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23

Isett, Philip. Constructing Continuous Solutions. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691174822.003.0008.

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This chapter demonstrates how the preceding construction, combined with a few estimates from Part V, can be used to prove the Main Lemma for continuous solutions. The first step is to mollify the velocity, followed by mollification of the stress. The lifespan is then chosen, preferring a small parameter to ensure that the first term in the parametrix for the High–High term is controlled. The chapter proceeds by discussing the bounds for the new stress and solving the divergence equation, along with the bounds for the corrections and finally, control of the energy increment. The equation for th

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24

Khan, Aman, and Kenneth A. Scorgie. Forecasting Government Budgets. The Rowman & Littlefield Publishing Group, 2022. https://doi.org/10.5040/9781666990355.

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Forecasting is integral to all governmental activities, especially budgetary activities. Without good and accurate forecasts, a government will not only find it difficult to carry out its everyday operations but will also find it difficult to cope with the increasingly complex environment in which it has to operate. This book presents, in a simple and easy to understand manner, some of the commonly used methods in budget forecasting, simple as well as advanced. The book is divided into three parts: It begins with an overview of forecasting background, forecasting process, and forecasting metho

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25

How Rational Are Inflation Expectations? A Vector Autoregression Decomposition of Inflation Forecasts and Their Errors. Storming Media, 2002.

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26

The C programmer's handbook. AT&T Bell Laboratories, 1985.

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27

GONZÁLEZ-HUACUZ, Erika del Carmen, Jorge Víctor ALCARAZ-VERA, and Rubén CHÁVEZ-RIVERA. Análisis de precios del maíz mexicano en la Chicago Board of Trade con vectores autorregresivos y vectores de corrección de error, 2000 – 2016. ECORFAN, 2020. http://dx.doi.org/10.35429/b.2020.2.1.107.

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28

Bell, Clive. The social profitability of rural roads in a small open economy: Do urban agglomeration economies matter? UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/894-8.

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In the presence of agglomeration economies, the effects of a rural roads programme depend not only on the reduction in transportation costs, but also on the form of labour mobility. When financed by a poll tax on rural households, the wage will rise, accompanied by some return migration, provided both cross-price effects in production and consumption and agglomeration economies are sufficiently small. With empirically plausible elasticities of agglomeration economies, urban households may be worse off. A tax on exports provides a countervailing distortion, yielding them some relief, yet with r

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29

Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report : [appendices]. National Aeronautics and Space Administration, 1985.

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30

Study of one- and two-dimensional filtering and deconvolution algorithms for a streaming array computer: Final report. National Aeronautics and Space Administration, 1985.

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31

Grant, Warren, and Martin Scott-Brown. Principles of oncogenesis. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0322.

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It is obvious that the process of developing cancer—oncogenesis—is a multistep process. We know that smoking, obesity, and a family history are strong independent predictors of developing malignancy; yet, in clinics, we often see that some heavy smokers live into their nineties and that some people with close relatives affected by cancer spend many years worrying about a disease that, in the end, they never contract. For many centuries scientists have struggled to understand the process that make cancer cells different from normal cells. There were those in ancient times who believed that tumo

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32

Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network

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