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Articles 31 - 39 of 39
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Coexistence Of Confamilial, Folivorous Indriids, Propithecus Diadema And Indri Indri, At Betampona Strict Nature Reserve, Madagascar, Lana Kerker Oliver
Coexistence Of Confamilial, Folivorous Indriids, Propithecus Diadema And Indri Indri, At Betampona Strict Nature Reserve, Madagascar, Lana Kerker Oliver
Arts & Sciences Electronic Theses and Dissertations
In this dissertation, I examine how two confamilial and ecologically similar indriids, indri (Indri indri), and diademed sifakas (Propithecus diadema) maintain coexistence in Betampona Nature Reserve (BNR), an eastern lowland rainforest in Madagascar. These two species occur sympatrically throughout much of their species ranges and are similarly-sized folivorous primates. As anatomic folivores, they present an opportunity to investigate how niche differentiation and resource partitioning allow two sympatric primate species with similar feeding patterns to coexist. I examined coexistence strategies and the general behavioral ecology of each species by examining their activity patterns, dietary profiles, home range use, and daily path …
Oxidative C-C Bond Formation Reactivity Of High Valent Nickel And Palladium Complexes, Michael Benjamin Watson
Oxidative C-C Bond Formation Reactivity Of High Valent Nickel And Palladium Complexes, Michael Benjamin Watson
Arts & Sciences Electronic Theses and Dissertations
The development of both palladium and nickel catalysis over the past several decades has led to the ability to perform a multitude of C-C coupling, C-Heteroatom coupling, and C-H functionalization reactions. These reactions typically utilize a catalytic cycle involving Pd0/II/IV and Ni0/II. While using these types of catalytic cycles one can create a multitude of different hard to make bonds, it is always important to keep expanding what we view as potential catalytic intermediates to keep developing new cycles capable of new transformations. One such way to expand our knowledge of these catalytic cycles is to look at the oxidation …
The Evolution Of Igneous Rocks On The Moon: Insights From Lunar Meteorites And Apollo 12, Sarah Valencia
The Evolution Of Igneous Rocks On The Moon: Insights From Lunar Meteorites And Apollo 12, Sarah Valencia
Arts & Sciences Electronic Theses and Dissertations
Lunar samples are the “ground truth” that anchor our knowledge of lunar geology. Lunar rocks present many challenges in that they are often brecciated (composed of multiple rock types), and their location of formation on the Moon is not always known. The brecciated nature of lunar samples also has advantages – multiple lithologies that have a related petrogenetic history can occur in the same sample, allowing us to trace the petrogenetic history of evolving magmatic systems. In this dissertation, I examine two evolved magmatic systems, using samples from the Northwest Africa (NWA) 773 clan of lunar meteorites and Apollo 12 …
Nuclear Spin Alignment In Optically Pumped Semiconductors, Matthew M. Willmering
Nuclear Spin Alignment In Optically Pumped Semiconductors, Matthew M. Willmering
Arts & Sciences Electronic Theses and Dissertations
Nuclear magnetic resonance (NMR) has shown its ability to be a very informative analytical technique due to the ability to measure very small changes in the energy splittings due to the nuclei’s local environment. However, this ability is hindered by the low sensitivity of the experiment. Many methods have been postulated and implemented to enhance the sensitivity of NMR experiments; one of which is optically pumped NMR (OPNMR). In this dissertation, the usefulness and potential applications of OPNMR are presented. First, a doubly resonant OPNMR probe was fabricated in order to complete more advanced NMR techniques while optically pumping the …
Market Risk Management For Financial Institutions Based On Garch Family Models, Qiandi Chen
Market Risk Management For Financial Institutions Based On Garch Family Models, Qiandi Chen
Arts & Sciences Electronic Theses and Dissertations
The financial stock market turned out to rise and fall suddenly and sharply in recent years, which means that volatility and uncertainty is very significant in market and measuring the market risk accurately is of great importance. I collect the historical close price of S&P 500 Financials Sector Index from January 19th 2011 to January 31st 2017, and use the daily logarithm yield as time series data to build 2 ARMA models and 5 GARCH family models using t-distribution. Then I calculate future 10 days’ relative VAR in 1-day horizon under 99\% confidence level based on the selected model. E-GARCH …
Statistical Models To Predict Popularity Of News Articles On Social Networks, Ziyi Liu
Statistical Models To Predict Popularity Of News Articles On Social Networks, Ziyi Liu
Arts & Sciences Electronic Theses and Dissertations
Social networks have changed the way that we obtain information. Content creators and, specifically news article authors, have in interest in predicting the popularity of content, in terms of the number of shares, likes, and comments across various social media platforms. In this thesis, I employ several statistical learning methods for prediction. Both regression-based and classification-based methods are compared according to their predictive ability, using a database from the UCI Machine Learning Repository.
On Post-Selection Confidence Intervals In Linear Regression, Xinwei Zhang
On Post-Selection Confidence Intervals In Linear Regression, Xinwei Zhang
Arts & Sciences Electronic Theses and Dissertations
The general goal of this thesis is to investigate and examine some issues about post-selection inference which arises from the setting where statistical inference is carried out after a datadriven model selection step. In this setting, the classical inference theory which requires a fixed priori model becomes invalid since the selected model is a result of random event. Hence, a common practice in applied research which ignores the model selection and builds up confidence interval will result in misleading or even false conclusion. In this thesis, specifically, we first discusses some examples to show how the classical inference theory loses …
Statistical Analysis Of Markovian Queueing Models Of Limit Order Books, Yiyao Luo
Statistical Analysis Of Markovian Queueing Models Of Limit Order Books, Yiyao Luo
Arts & Sciences Electronic Theses and Dissertations
The objective of this thesis is to investigate the suitability of some Markovian queueing models in being able to effectively describe the dynamical properties of a limit order book more specifically. We review and compare the assumptions proposed by Huang et al.[Quantitative Finance,12,547-557(2012)] and Cont et al.[SIAM Journal for Financial Mathematics,4,1- 25(2013)], and estimate the intensity parameters in both ways, based on real data of a stock on the Nasdaq Stock Market. Trough comparing by cumulative distribution functions of first-passage time to state 0, we will hsow that the estimators of Cont’s model fit our data better and we put …
Statistical Analysis Of The Price Jumps Of Financial Assets Based On Lob Data, Ying Zhuang
Statistical Analysis Of The Price Jumps Of Financial Assets Based On Lob Data, Ying Zhuang
Arts & Sciences Electronic Theses and Dissertations
The price process in electronic markets is one prototypical example of a stochastic process, and it has historically be fitted and analyzed using different stochastic models such as Levy processes, diffusions, and SDEs (stochastic differential equations). In this thesis, we analyze Microsoft stock data in 2014-11-03 with the goal of studying the presence of jumps based on Limit Order Book (LOB) data. To this end, we divide the whole day’s data into many consecutive intervals and proceed to apply a jump detection method to identify the intervals that could potentially have jumps. After obtaining the intervals with potential jumps, we …