C. Kuesten

发表

Temporal Drivers of Liking Based on Functional Data Analysis and Non-Additive Models for Multi-Attribute Time-Intensity Data of Fruit Chews

C. Kuesten, Jian Bi, 2018, Foods.

Time–Intensity Using Discrete Time Points

C. Kuesten, 2017 .

Analyzing consumers’ Profile of Mood States (POMS) data using the proportional odds model (POM) for clustered or repeated observations and R package ‘repolr’

H. Meiselman, C. Kuesten, Jian Bi, 2017 .

Paired versions of various sensory discrimination forced-choice methods and the same-different area theorem

M. O'Mahony, C. Kuesten, Jian Bi, 2018 .

Propensity score analysis (PSA) for sensory causal inference – Global consumer psychographics and applications for phytonutrient supplements

H. Meiselman, C. Kuesten, Jian Bi, 2016 .

Functional Foods and Protein Supplementation

C. Kuesten, Chün-yin Hu, 2020, Handbook of Eating and Drinking.

Risk Assessment of Negative Sensory Effects in Product Development Using the Benchmark Dose (BMD) Methodology for Continuous Data

C. Kuesten, Jian Bi, 2015 .

Customer Visits: Building a Better Market Focus (3rd edition) by Edward F. McQuarrie

C. Kuesten, 2009 .

Type I error, testing power, and predicting precision based on the GLM and LM models for CATA data--Further discussion with M. Meyners and A. Hasted

C. Kuesten, Jian Bi, 2023, Food Quality and Preference.

Estimating and Testing Parameters of the Thurstonian Model for Torgerson's Method of Triads

C. Kuesten, Jian Bi, 2015 .

Comprehensive model for characterizing skin translucency by expert grading, panel evaluation and image analysis in a Chinese population

Weiyi Hu, C. Kuesten, Jianwei Liu, 2022, International journal of cosmetic science.

Sparse hierarchical clustering based on Menopause Rating Scale severity of symptoms collected from perimenopausal and postmenopausal US women in a menopause tablet perceptual efficacy study

C. Kuesten, Jian Bi, Jennifer Dang, 2023, Journal of Sensory Studies.

Japanese consumer segmentation based on general self-efficacy psychographics data collected in a phytonutrient supplement study: Influence on health behaviors, well-being, product involvement and liking

H. Meiselman, C. Kuesten, Jian Bi, 2022, Food Quality and Preference.

INTRACLASS CORRELATION COEFFICIENT (ICC): A FRAMEWORK FOR MONITORING AND ASSESSING PERFORMANCE OF TRAINED SENSORY PANELS AND PANELISTS

Carla Kuesten, Jian Bi, C. Kuesten, 2012 .

The Use of Demographics and Psychographics to Study Product Effects with Nutrient Supplements: Exploratory Multi-Country Data

H. Meiselman, C. Kuesten, Jian Bi, 2021, Foods.

Functional Foods and Dietary Supplements

C. Kuesten, Chün-yin Hu, 2019, Handbook of Eating and Drinking.

Case studies of industrial applications of the “M+N” classification method with larger M and N for visual and manual inspections

Jian Bi, Carla Kuesten, Amy Hou, 2017 .

Revisiting Fisher’s ‘Lady Tasting Tea’ from a perspective of sensory discrimination testing

Jian Bi, Carla Kuesten, C. Kuesten, 2015 .

COMPUTERIZED PANEL TRAINING: EFFECTS OF USING GRAPHIC FEEDBACK ON SCALE USAGE

Naomi S. Altman, C. L. Kuesten, M. R. McLELLAN, 1994 .

Application of a panel performance reliability versus product effect size (PR-ES) framework: A protein powder case study

Jian Bi, Carla Kuesten, C. Kuesten, 2021 .

Healthcare supplements in context

C. Kuesten, 2019, Context.

Human Skin Gloss Perception Based on Texture Statistics

Thrasyvoulos N. Pappas, Carla Kuesten, Jing Wang, 2021, IEEE Transactions on Image Processing.

Review and development of Thurstonian models for the triangle and duo‐trio methods and paired versions of the methods

C. Kuesten, Jian Bi, 2020 .

Determining the Influence of Image-based Cues on Human Skin Gloss Perception

Jing Wang, Thrasyvoulos N. Pappas, Carla Kuesten, 2017, HVEI.

A global study using PANAS (PA and NA) scales to measure consumer emotions associated with aromas of phytonutrient supplements

H. Meiselman, C. Kuesten, Jian Bi, 2014 .