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1
Methane production from lignocellulosic agricultural crop wastes: A review in context to second generation of biofuel production
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Article
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Methane production from lignocellulosic agricultural crop wastes: A review in context to second generation of biofuel production

Chandra, R. ; Takeuchi, H. ; Hasegawa, T.

Renewable & sustainable energy reviews, 2012-04, Vol.16 (3), p.1462-1476 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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2
The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models
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Article
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The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models

Bhat, Chandra R.

Transportation research. Part B: methodological, 2011-08, Vol.45 (7), p.923-939 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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3
Hydrothermal pretreatment of rice straw biomass: A potential and promising method for enhanced methane production
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Article
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Hydrothermal pretreatment of rice straw biomass: A potential and promising method for enhanced methane production

Chandra, R. ; Takeuchi, H. ; Hasegawa, T.

Applied energy, 2012-06, Vol.94, p.129-140 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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4
Improving biodegradability and biogas production of wheat straw substrates using sodium hydroxide and hydrothermal pretreatments
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Article
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Improving biodegradability and biogas production of wheat straw substrates using sodium hydroxide and hydrothermal pretreatments

Chandra, R. ; Takeuchi, H. ; Hasegawa, T. ; Kumar, R.

Energy (Oxford), 2012-07, Vol.43 (1), p.273-282 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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5
The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions
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Article
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The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions

Bhat, Chandra R.

Transportation research. Part B: methodological, 2008-03, Vol.42 (3), p.274-303 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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6
Joint Approximately Sparse Channel Estimation and Data Detection in OFDM Systems Using Sparse Bayesian Learning
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Article
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Joint Approximately Sparse Channel Estimation and Data Detection in OFDM Systems Using Sparse Bayesian Learning

Prasad, Ranjitha ; Murthy, Chandra R. ; Rao, Bhaskar D.

IEEE transactions on signal processing, 2014-07, Vol.62 (14), p.3591-3603 [Peer Reviewed Journal]

New York, NY: IEEE

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7
On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level
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On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level

Narayanamoorthy, Sriram ; Paleti, Rajesh ; Bhat, Chandra R.

Transportation research. Part B: methodological, 2013-09, Vol.55, p.245-264 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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8
A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels
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A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels

Bhat, Chandra R. ; Guo, Jessica Y.

Transportation research. Part B: methodological, 2007-06, Vol.41 (5), p.506-526 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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9
A copula-based approach to accommodate residential self-selection effects in travel behavior modeling
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A copula-based approach to accommodate residential self-selection effects in travel behavior modeling

Bhat, Chandra R. ; Eluru, Naveen

Transportation research. Part B: methodological, 2009-08, Vol.43 (7), p.749-765 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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10
A latent variable representation of count data models to accommodate spatial and temporal dependence: Application to predicting crash frequency at intersections
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A latent variable representation of count data models to accommodate spatial and temporal dependence: Application to predicting crash frequency at intersections

Castro, Marisol ; Paleti, Rajesh ; Bhat, Chandra R.

Transportation research. Part B: methodological, 2012, Vol.46 (1), p.253-272 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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