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Showing 1 to 9 of 9 for “"General covariance"”.

  1. The Methodology of Loop Quantum Gravity

    … in recent years from the quantization of General Relativity in connection variables. Loop Quantum Gravity is known to have the property of background independence in contrary to other contemporary approaches to quantum gravity. This work mainly consists of a literature review of Dirac …

    nus Repository record for The Methodology of Loop Quantum Gravity (opens in a new tab)

  2. Three essays on econometrics

    … with weakly identified nuisance parameters and general covariance structure. The result of Guggenberger et al (2012) in case of homoskedasticity is shown to break down when general covariance structure is allowed. I provide a thorough simulation results to show that the break-down of the result …

    mit Repository record for Three essays on econometrics (opens in a new tab)

  3. A Development of a New Approach to the Static Axially Symmetric Einstein- Maxwell Field.

    Principle of General CovarianceSpecial relativity and classical mechanics share the principle of invariance of the laws of physics in all inertial reference frames. They differ in that the postulate of the constancy of the velocity of light holds in special relativity. On the other hand, the …

    uab Repository record for A Development of a New Approach to the Static Axially Symmetric Einstein- Maxwell Field. (opens in a new tab)

  4. Infinite derivative gravity : a ghost and singularity-free theory

    … this thesis is to present a viable extension of general relativity free from cosmological singularities. A viable cosmology, in this sense, is one that is free from ghosts, tachyons or exotic matter, while staying true to the theoretical foundations of General Relativity such as general

    lancaster Repository record for Infinite derivative gravity : a ghost and singularity-free theory (opens in a new tab)

  5. Array methods in statistics with applications to the modelling and forecasting of mortality

    … of Currie et al. (2006) to cope with more general covariance structures; secondly we describe an additive model of mortality which decomposes the mortality surface into a smooth twodimensional surface and a series of smooth age dependent shocks within years; thirdly we describe an additive …

    heriot-watt Repository record for Array methods in statistics with applications to the modelling and forecasting of mortality (opens in a new tab)

  6. Length standards and the twin paradox in the special theory of relativity

    … are easily resolved when we take into account general covariance. In subsequent discussion of light-speed conventionality, I prove that any transform which preserves synchronization consistent with Michelson-Morley must be a similarity transform; and use this to demonstrate that not all results …

    uiuc Repository record for Length standards and the twin paradox in the special theory of relativity (opens in a new tab)

  7. Two quantum effects in the theory of gravitation

    … the first of these, the consequences of treating general relativity as an effective quantum field theory will be examined. The primary result will be the calculation of the first-order quantum gravity corrections to the [beta] functions of arbitrary Yang-Mills theories. These corrections will …

    mit Repository record for Two quantum effects in the theory of gravitation (opens in a new tab)

  8. Wireless Scheduling for Monitoring Remote Correlated Sources

    … are multivariate normal random variables, with a general covariance matrix that captures the correlation structure between the sources. Under a Kalman filter-based optimal estimation framework, we show that the performance of all scheduling policies oblivious to instantaneous error can be lower …

    mit Repository record for Wireless Scheduling for Monitoring Remote Correlated Sources (opens in a new tab)

  9. Linear mixed effects models in functional data analysis

    … provide a model for the within individual covariance of the observations. But it also introduces an additional parameter into the model, the covariance matrix of the random effects. This additional parameter complicates the covariance matrix of the observations. Possibly, the covariance

    ubc Repository record for Linear mixed effects models in functional data analysis (opens in a new tab)