scholarly journals Multiproduct Production Choices And Pesticide Regulation In Georgia

1992 ◽  
Vol 24 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Christopher S. McIntosh ◽  
Albert A. Williams
Keyword(s):  
Food Safety ◽  
Groundwater Quality ◽  
Confidence Intervals ◽  
Profit Function ◽  
Function Model ◽  
Point Estimates ◽  
Short Run ◽  
Pesticide Regulation ◽  
Surface And Groundwater

AbstractAn increasing emphasis on surface and groundwater quality and food safety may result in some form of pesticide regulations. A restricted profit function model of Georgia agriculture is used to examine the short-run effects of 2 and 5 percent reductions in all pesticides. Point estimates of short-run impacts, along with their 90 percent confidence intervals are presented.

Hollywood Rules

2017 ◽  
pp. 1-9
Author(s):  
Karl Schmedders ◽  
Charlotte Snyder ◽  
Ute Schaedel
Keyword(s):  
Confidence Intervals ◽  
Statistical Methods ◽  
Regression Models ◽  
Functional Form ◽  
Hedge Fund ◽  
Fund Manager ◽  
Wall Street ◽  
Independent Variables ◽  
Point Estimates ◽  
Hedge Fund Manager

Wall Street hedge fund manager Kim Meyer is considering investing in an SFA (slate financing arrangement) in Hollywood. Dave Griffith, a Hollywood producer, is pitching for the investment and has conducted a broad analysis of recent movie data to determine the important drivers of a movie’s success. In order to convince Meyer to invest in an SFA, Griffith must anticipate possible questions to maximize his persuasiveness.Students will analyze the factors driving a movie’s revenue using various statistical methods, including calculating point estimates, computing confidence intervals, conducting hypothesis tests, and developing regression models (in which they must both choose the relevant set of independent variables as well as determine an appropriate functional form for the regression equation). The case also requires the interpretation of the quantitative findings in the context of the application.

scholarly journals Earthquake forecasting: statistics and information

2016 ◽  
Vol 58 (6) ◽  
Author(s):  
Vladimir Gertsik ◽  
Mark Kelbert ◽  
Anatoly Krichevets
Keyword(s):  
Confidence Intervals ◽  
Decision Rule ◽  
Random Fields ◽  
Axiomatic Approach ◽  
Earthquake Forecasting ◽  
Alarm System ◽  
Conditional Probabilities ◽  
Mathematical Basis ◽  
Strong Earthquakes ◽  
Point Estimates

<div class="abstract"><div class="abstract_item"><p>The paper presents a decision rule forming a mathematical basis of earthquake forecasting problem. We develop an axiomatic approach to earthquake forecasting in terms of multicomponent random fields on a lattice. This approach provides a method for constructing point estimates and confidence intervals for conditional probabilities of strong earthquakes under conditions on the levels of precursors. Also, it provides an approach for setting a multilevel alarm system and hypothesis testing for binary alarms. We use a method of comparison for different algorithms of earthquake forecasts in terms of the increase of Shannon information. ‘Forecasting’ (the calculation of the probabilities) and ‘prediction’ (the alarm declaring) of earthquakes are equivalent in this approach.</p></div></div>

Null Hypothesis Significance Testing: Ramifications, Ruminations and Recommendations

2005 ◽  
Vol 35 (1) ◽  
pp. 1-20 ◽  
Author(s):  
G. K. Huysamen
Keyword(s):  
Sample Size ◽  
Confidence Intervals ◽  
Effect Size ◽  
Null Hypothesis ◽  
Significance Testing ◽  
Population Parameter ◽  
Size Estimation ◽  
Null Hypothesis Significance Testing ◽  
Point Estimates ◽  
Size Estimates

Criticisms of traditional null hypothesis significance testing (NHST) became more pronounced during the 1960s and reached a climax during the past decade. Among others, NHST says nothing about the size of the population parameter of interest and its result is influenced by sample size. Estimation of confidence intervals around point estimates of the relevant parameters, model fitting and Bayesian statistics represent some major departures from conventional NHST. Testing non-nil null hypotheses, determining optimal sample size to uncover only substantively meaningful effect sizes and reporting effect-size estimates may be regarded as minor extensions of NHST. Although there seems to be growing support for the estimation of confidence intervals around point estimates of the relevant parameters, it is unlikely that NHST-based procedures will disappear in the near future. In the meantime, it is widely accepted that effect-size estimates should be reported as a mandatory adjunct to conventional NHST results.

Surface and Groundwater Quality and Health, with a Focus on the United Kingdom

2003 ◽  
Author(s):  
Colin Neal
Keyword(s):  
Drinking Water ◽  
United Kingdom ◽  
Water Resources ◽  
Groundwater Quality ◽  
Global Climate ◽  
The United Kingdom ◽  
Wide Range ◽  
Basic Sanitation ◽  
Per Capita ◽  
Surface And Groundwater

Freshwater environments are of major importance to health issues in both direct (e.g., drinking water and sanitation) and indirect (e.g., industry, agriculture, and amenity/recreation) ways. However, water resources are finite, and, though renewable, demands have multiplied over the last 100 years due to escalating human populations and the growing requirements of industry and agriculture. Hence, there are increasing global concerns over the extent of present and future good quality water resources. As Gleick (1998) emphasizes: . . . ·Per-capita water demands are increasing, but percapita water availability is decreasing due to population growth and economic development. . . . . . . ·Half the world’s population lacks basic sanitation and more than a billion people lack potable drinking water; these numbers are rising. Incidences of some water-related diseases are rising. . . . . . . ·The per-capita amount of irrigated land is falling and competition for agricultural water is growing. . . . . . . ·Political and military tensions/conflicts over shared water resources are growing. . . . . . . ·A groundwater overdraft exists, the size of which is accelerating; groundwater supplies occur on every continent except Antarctica. . . . . . . ·Global climate change is evident, and the hydrological cycle will be seriously affected in ways that are only beginning to be understood. . . . The chemical composition of surface and groundwaters is influenced by a wide range of processes, some of which are outside the influence of humans while others are a direct consequence of anthropogenic pollution or changing of the environment. Starting with the range and nature of the processes involved, the changing nature of surface and groundwater quality is illustrated here, based on the evolution of the United Kingdom from a rural to an industrial and to a post- industrial society. The issue of what constitutes a health risk is outlined in relation to the pragmatic approaches required for environmental management. Surface and groundwater exhibit a wide range of chemical compositions, and, in ecosystems uninfluenced by humans, the range of compositions can vary considerably.

Finite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA

2003 ◽  
Vol 32 (2) ◽  
pp. 208-252 ◽  
Author(s):  
Patrick J. Curran ◽  
Kenneth A. Bollen ◽  
Feinian Chen ◽  
Pamela Paxton ◽  
James B. Kirby
Keyword(s):  
Confidence Intervals ◽  
Point Estimates ◽  
Finite Sampling

Neck Pain Participant’s Perception of Traction Forces During Chiropractic Manual Cervical Distraction

2012 ◽  
Author(s):  
M. Ram Gudavalli ◽  
Charles N. R. Henderson ◽  
Robert Vining ◽  
Lynne Carber ◽  
Avinash G. Patwardhan ◽  
...  
Keyword(s):  
Neck Pain ◽  
Confidence Intervals ◽  
Study Participant ◽  
Graphical Analysis ◽  
Motion Sensors ◽  
Traction Forces ◽  
Treatment Perceptions ◽  
Point Estimates ◽  
Force And Motion ◽  
Analysis Point

In this exploratory study, we measured applied traction forces during a chiropractic manual cervical distraction procedure for each of three “treatment” perceptions; (i) beginning to feel a stretch, (ii) stretch feels like it could be a treatment, and (iii) stretch definitely feels like a treatment. A single trained clinician performed manual cervical distraction procedures on 10 neck pain participants using a commercially available table that was embedded with force and motion sensors. Participants were prone on the table while manual distraction was applied with gradually increasing force. When the specified perception was experienced, the study participant depressed a hand switch. Data was summarized with descriptive statistics and plotted for graphical analysis. Point estimates and 95% confidence intervals were calculated for the distractive force associated with each of the 3 treatment perceptions. Mean traction forces with 95% confidence intervals, corresponding to each of the 3 perception levels were: i) beginning to feel a stretch 18.6 N (11.9–25.2 N), ii) stretch feels like it could be a treatment 25.5 N (18.3–32.6 N), and iii) stretch definitely feels like a treatment 36.2 N (26.2–46.1 N).

Inference for econometric modeling in antidumping, countervailing duty and safeguard investigations

2009 ◽  
Vol 8 (4) ◽  
pp. 545-557 ◽  
Author(s):  
JAMES J. FETZER
Keyword(s):  
Confidence Intervals ◽  
Econometric Models ◽  
Econometric Modeling ◽  
P Values ◽  
Flexible Approach ◽  
Fixed Level ◽  
Point Estimates ◽  
Level Of Confidence ◽  
Significance Levels

AbstractThis paper examines how to make inferences from econometric models prepared for antidumping, countervailing duty, and safeguard investigations. Analysis of these models has typically entailed drawing inferences from point estimates that are significantly different from zero at a fixed level of confidence. This paper suggests a more flexible approach of drawing inferences using confidence intervals at various significance levels and reporting p-values for the relevant test of injury. Use of confidence intervals and p-values to identify insights and data patterns would have more impact on USITC trade remedy determinations than definitive conclusions about injury based on whether estimates are statistically significant.

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