Ronald D. Snee
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Ronald D. Snee's AcademicInfluence.com Rankings
Ronald D. Sneemathematics Degrees
Mathematics
#6244
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#8686
Historical Rank
Statistics
#553
World Rank
#632
Historical Rank

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Mathematics
Ronald D. Snee's Degrees
- PhD Statistics Virginia Tech
- Masters Statistics Virginia Tech
- Bachelors Mathematics Virginia Tech
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(Suggest an Edit or Addition)Ronald D. Snee's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Validation of Regression Models: Methods and Examples (1977) (1152)
- Ridge Regression in Practice (1975) (746)
- Lean Six Sigma – getting better all the time (2010) (562)
- Regression Diagnostics: Identifying Influential Data and Sources of Collinearity (1983) (335)
- Six–Sigma: the evolution of 100 years of business improvement methodology (2004) (272)
- What's Missing in Statistical Education? (1993) (194)
- Lean Six Sigma: yesterday, today and tomorrow (2017) (154)
- Statistical Thinking: Improving Business Performance (2001) (131)
- Industry, Statistics in (2006) (130)
- Statistical Thinking and Its Contribution to Total Quality (1990) (125)
- Some Aspects of Nonorthogonal Data Analysis: Part I. Developing Prediction Equations (1973) (118)
- Graphical Display of Means (1980) (116)
- Leading Six Sigma: A Step-by-Step Guide Based on Experience with GE and Other Six Sigma Companies (2002) (114)
- Extreme Vertices Designs for Linear Mixture Models (1974) (113)
- Graphical Display of Two-way Contingency Tables (1974) (103)
- Test Statistics for Mixture Models (1974) (83)
- Why should statisticians pay attention to six sigma (1999) (76)
- Screening Concepts and Designs for Experiments with Mixtures (1976) (76)
- Statistical Thinking and Methods in Quality Improvement: A Look to the Future (2010) (75)
- Experimental Designs for Quadratic Models in Constrained Mixture Spaces (1975) (74)
- Design and Analysis of Mixture Experiments (1971) (70)
- The Project Selection Process (2002) (69)
- Integrating Lean and Six Sigma - a Holistic Approach (2007) (63)
- Techniques for the Analysis of Mixture Data (1973) (62)
- Comment: Collinearity Diagnostics Depend on the Domain of Prediction, the Model, and the Data (1984) (58)
- Experimental designs for mixture systems with multicomponent constraints (1979) (57)
- Developing Blending Models for Gasoline and Other Mixtures (1981) (56)
- Six Sigma Beyond the Factory Floor: Deployment Strategies for Financial Services, Health Care, and the Rest of the Real Economy (2004) (56)
- Preparing Statisticians for Careers in Industry: Report of the ASA Section on Statistical Education Committee on Training of Statisticians for Industry (1980) (54)
- Computer-Aided Design of Experiments—Some Practical Experiences (1985) (53)
- Design of a statistical method for the analysis of mutagenesis at the hypoxanthine-guanine phosphoribosyl transferase locus of cultured Chinese hamster ovary cells. (1981) (51)
- Applying statistical thinking to ‘Big Data’ problems (2014) (48)
- Nonadditivity in a Two-Way Classification: Is it Interaction or Nonhomogeneous Variance? (1982) (47)
- Quantitative risk assessment: state-of-the-art for carcinogenesis. (1983) (47)
- Statistics in Pharmaceutical Development and Manufacturing (2009) (46)
- An epidemiologic approach to community air lead exposure using personal air samplers. (1975) (46)
- Response-surface co-optimization of reaction conditions in clinical chemical methods. (1979) (45)
- On the Analysis of Response Curve Data (1972) (43)
- Assessing the Accuracy of Mixture Model Regression Calculations (1982) (41)
- Discussion: Development and Use of Statistical Thinking: A New Era (1999) (35)
- Statistical Engineering—Forming the Foundations (2012) (34)
- Measuring the hydrophobicity of lubricated blends of pharmaceutical excipients (2010) (32)
- Predicting flow behavior of pharmaceutical blends using shear cell methodology: A quality by design approach (2016) (31)
- Moving the Statistics Profession Forward to the Next Level (2010) (31)
- A procedure for the statistical evaluation of Ames Salmonella assay results. Comparison of results among 4 laboratories. (1984) (29)
- Leading Business Improvement: a New Role for Statisticians and Quality Professionals (2005) (28)
- Automated enzymatic assay for plasma ammonia. (1979) (28)
- An Alternative Approach to Fitting Models When Re-expression of the Response is Useful (1986) (26)
- [Developments in Linear Regression Methodology: 1959-1982]: Discussion (1983) (25)
- Time series search for trend in total ozone measurements (1981) (24)
- Identifying Useful Differences in a Multiple-Head Machine (1973) (24)
- Graphical Analysis of Process Variation Studies (1983) (23)
- Evaluation of studies of the relationship between blood lead and air lead (1981) (22)
- Improving Business Processes With Six Sigma (2002) (21)
- Statistical Engineering—Roles for Statisticians and the Path Forward (2012) (20)
- Models for the relationship between blood lead and air lead (1982) (18)
- A useful method for the analysis of growth studies. (1979) (18)
- Non-statistical skills that can help statisticians be more effective (1998) (18)
- Statistical comparison of dissolution profiles (2016) (18)
- A statistical method for analysis of mouse lymphoma L5178Y cell TK locus forward mutation assay. Comparison of results among three laboratories. (1982) (16)
- Urea and amino acid supplementation of swine diets. (1970) (16)
- Statistical Engineering: An Idea Whose Time Has Come? (2015) (16)
- Statistics to Facilitate Innovation*: A Panel Discussion (2012) (16)
- Some Aspects of Nonorthogonal Data Analysis: Part II. Comparison of Means (1973) (16)
- Shear-induced APAP de-agglomeration (2009) (14)
- Leadership—Essential for Developing the Discipline of Statistical Engineering (2012) (14)
- Big data and the missing links (2016) (13)
- A comprehensive analysis and optimization of continuous twin-screw granulation processes via sequential experimentation strategy. (2019) (13)
- ‘Post-financial meltdown: What do the services industries need from us now?’ by Roger W. Hoerl and Ronald D. Snee: Rejoinder (2009) (12)
- Communications between statisticians and engineers/physical scientists (1990) (12)
- Statistical Design and Analysis of Shape Studies (1971) (12)
- Redesigning the Introductory Statistics Course (1995) (12)
- Tried and True: Organizations put statistical engineering to the test, see results (2010) (12)
- Improving Team Effectiveness (1998) (11)
- Developing a Career in the Practice of Statistics: The Mentor's Perspective (2017) (11)
- Digging the Holistic Approach: Rethink business improvement to improve the bottom line (2009) (10)
- W. Edwards Deming's Making Another World : A Holistic Approach to Performance Improvement and The Role of Statistics (2008) (10)
- Weave six sigma into the fabric of an organization (2005) (10)
- Longitudinal studies of lead levels in a US population. (1973) (10)
- Eight Essential Tools (2003) (9)
- Computation and Use of Expected Mean Squares in Analysis of Variance (1974) (9)
- Prediction of tablet weight variability in continuous manufacturing. (2020) (9)
- Time series analysis of stratospheric ozone (1982) (9)
- Discussion of: The Use of Gradients to Aid in the Interpretation of Mixture Response Surfaces (1975) (9)
- Silver Valley lead study: further analysis of the relationship between blood lead and air lead. (1982) (9)
- Understanding Formulation Systems—A Six Sigma Approach (2011) (7)
- Raise Your Batting Average: Remember the importance of sequence in experimentation (2009) (7)
- Follow the fundamentals: Four data analysis basics will help you do big data projects the right way (2014) (7)
- Discussion of "Post-Financial Meltdown: What Do the Services Industries Need From Us Now?" (2009) (7)
- Variation in the relationship between blood lead and air lead (1985) (6)
- Cooperation between University and Industry Statisticians (1984) (6)
- A Practical Approach to Data Mining: I Have All These Data; Now What Should I Do? (2015) (6)
- Assessing Component Effects in Formulation Systems (2012) (5)
- Identifying the skills Master Black Belts and Black Belts need to be effective leaders (2010) (5)
- Mathematics Is Only One Tool That Statisticians Use (1988) (5)
- A study into the pros and cons of ISO 18404: viewpoints from leading academics and practitioners (2021) (5)
- Getting better all the time: the future of business improvement methodology (2007) (4)
- Quality by Design: Building Quality into Products and Processes (2016) (4)
- Graphical Display of Results of Three‐Treatment Randomized Block Experiments (1985) (4)
- A Note on the Use of Residuals for Examining the Assumptions of Covariance Analysis (1971) (4)
- Global study into the pros and cons of ISO 18404: a convergent mixed method study and recommendations for further research (2021) (4)
- Introduction to the Genetic Toxicology Association workshop on statistical analysis of cytogenetics test systems. (1985) (4)
- Commentary: A Partnership is Needed (1990) (3)
- Guest Editorial (2000) (3)
- A statistical engineering strategy for mixture problems with process variables (2016) (3)
- Can staticians meet the challenge of total quality (1991) (3)
- Recovery of blood lead concentration and of red cell 8-aminolevulinic acid dehydrase activity in dogs following return to normal diets after 75 weeks of lead feeding. (1975) (3)
- Develop Useful Models (2002) (3)
- Interaction blending equations enhance reformulated gasoline profitability (1994) (3)
- Applications of Statistics to Industrial Experimentation (1978) (2)
- A New Approach to Setting Vehicle Emission Standards (1974) (2)
- Effect of Previous type of Confinement on Length of Adjustment for Barrows in Metabolism Trials (1969) (2)
- The Annual Average: An Alternative to the Second Highest Value as a Measure of Air Quality (1977) (2)
- Failure Modes and Effects Analysis (2008) (2)
- Discussion on Statistics in Pharmaceutical Development and Manufacturing (2009) (2)
- The Hard Part: Holding Improvement Gains (2006) (2)
- COMMENTS ON DRAPER, PRESCOTT, LEWIS, DEAN, JOHN, AND TUCK (1993): UNDERSTANDING FORMULATION SYSTEMS (1995) (2)
- A Tribute to Ellis R. Ott (1983) (2)
- TWO-WAY TABLES WITH NO REPLICATION (1993) (2)
- An Overview of Lean Six Sigma* (2020) (2)
- Response to Dr. Brunekreef's comments on developing an air quality standard for lead (1983) (1)
- TOWARD HOLISTIC DATA SCIENCE EDUCATION (2022) (1)
- Fitting equations to data (1972) (1)
- Statistical analysis of interlaboratory studies. (1972) (1)
- What's Next After Lean Six Sigma? (2010) (1)
- Interpreting operator-part interaction in gage repeatability and reproducibility studies (2021) (1)
- Summary and Path Forward (2012) (1)
- The Future of Quality (2018) (1)
- More on Regression (2012) (1)
- Chapter 12 – Increasing newspaper accuracy using Six Sigma methodology (2006) (1)
- Growth response of greenhouse chrysanthemum, Chrysanthemum morifolium, to root drenches of diazinon and demeton. (1970) (1)
- Discussion: Increasing the Value of the Statistics Profession (1998) (1)
- Discussion: Statisticians Must Develop Data‐Based Management and Improvement Systems as Well as Create Measurement Systems (1999) (1)
- The potato: A practical and scientific (2008) (1)
- Are You Making Decisions in a Fog (2005) (1)
- Graphical Representation of Data (2008) (1)
- T Critical Values (2012) (0)
- Strategies for Formulations Development: A Step-by-Step Guide Using JMP (2016) (0)
- Statistics in Industry (2014) (0)
- Using Process Experimentation to Build Models (2012) (0)
- Statistical Thinking Strategy (2012) (0)
- Discussion of “Statistics: A Life Cycle View” (2015) (0)
- Rejoinder: A Consensus that the Statistics Profession Must Change, Is Growing (2010) (0)
- Discussion (2001) (0)
- Creating Robust Test Methods Using Statistical Design of Experiments (2015) (0)
- Discussion (2007) (0)
- Applying design of experiments to optimize the performance level of a curling sport team (2023) (0)
- Discussion on the Shainin System by Ronald D. Snee (2008) (0)
- Speeding Up Formulation Development (2017) (0)
- Experiments in Industry: Analysis and Interpretation of Results. (1986) (0)
- Statistical Engineering Tactics to Deploy Statistical Thinking (2012) (0)
- Discussion of 'Opportunities to empower statisticians in emerging areas' (2015) (0)
- Experiments on the effect of carbon monoxide on aminolevulinic acid dehydrase (ALAD). (1976) (0)
- Underlying Theory of Statistical Inference (2012) (0)
- Partnership needed (2012) (0)
- W. Edwards Deming's “Making AnotherWorld” (2008) (0)
- STATISTICIANS AS LEADERS VERSUS FOLLOWERS (GOOD COP, BAD COP) (2010) (0)
- Rejoinder (2009) (0)
- W. J. Youden Memorial Address: Meeting the Challenge of Total Quality 1 (1986) (0)
- Quality by Design - Are We Making Progress? (2014) (0)
- Understanding interactions between mixture components and process variables (2022) (0)
- Firefighting With DMAIC (2010) (0)
- More on Inference Tools (2012) (0)
- REMOVAL OF THRIPS DURING ASPARAGUS WASHING (1975) (0)
- More on Design of Experiments (2012) (0)
- Need for Business Improvement (2012) (0)
- More on Probability Distributions (2012) (0)
- Process Design (Reengineering) (2012) (0)
- Industry and Business, Statistics in (2015) (0)
- We Stand on the Shoulders of Giants—Pioneers of Statistics in Industry (2019) (0)
- Discussion (2018) (0)
- Development of an air quality standard for lead from community studies. (1982) (0)
- Presentations and Report Writing (2012) (0)
- Process Improvement and Problem-Solving Tools (2012) (0)
- More Surveys (1930) (0)
- Standard Normal Probabilities (Cumulative z Curve Areas) (2012) (0)
- Understanding Business Processes (2012) (0)
- Applications of Statistical Inference Tools (2012) (0)
- Using statistical engineering in pharmaceutical and biotech problem solving a case study (2022) (0)
- Commentary, Volume 45, Number 5 (1998) (0)
- Building and Using Models (2012) (0)
- An effective strategy for the analysis of response profiles (2020) (0)
- Introduction to special edition of Quality Engineering (2022) (0)
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