producers to hedge feeder cattle and stocker cattle. Feeder cattle prices, and hence basis, varies with cattle type, lot characteristics and location. Producers need to consider these factors when estimating their basis. However, there still remains variability in prices due to volume, or more likely lack of volume, in a particular weight class or in some cases for an entire market. The volume ...

Often we know the results of n observations, Cl'... c,', such that ci/ may be supposed to have been drawn at random from a normal universe of unknown standard deviation a (the same for all the observations), and with mean ajta + bj4 + djid + . . . + mijm. Here the coefficients as . .. mi are supposed to be known, while the m quantities za ... are unknown. We suppose that n > m, and the question...

Contrary to popular belief, the method of least squares (LS) does not require that the data have normally distributed (Gaussian) error for its validity. One practically important application of LS fitting that does not involve normal data is the estimation of data variance functions (VFE) from replicate statistics. If the raw data are normal, sampling estimates s(2) of the variance sigma(2) are...

OBJECTIVE To assess whether light drinking in pregnancy is linked to unfavourable developmental outcomes in children. DESIGN Prospective population-based cohort. SETTING UK. POPULATION Ten thousand five hundred and thirty-four 7-year-olds. METHODS Quasi-experimental using propensity score matching (PSM) to compare children born to light (up to 2 units per week) and non-drinkers. MAIN ...

urvival analysis is seldom used in studies of the S of musculoskeletal therapy. Most clinical studies of musculoskeletal therapy use parametric statistical methods such as analysis of variance (ANOVA) to illustrate the effects of treatment on outcomes. Nonparametric techniques of analysis such as survival analysis are less frequently used. Survival analysis has a number of advantages that make ...

This contribution presents a simple, attractive, and exible formulation for the weighted total least squares (WTLS) problem. It is simple because it is based on the well-known standard least squares theory; it is attractive because it allows one to directly use the existing body of knowledge of the least squares theory; and it is exible because it can be used to a broad eld of applications in t...

In this paper, modular neural network (MNN) inversion has been applied for the parameters approximation of the gravity anomaly causative target. The trained neural network is used for estimating the amplitude coefficient and depths to the top and bottom of a finite vertical cylinder source. The results of the applied neural network method are compared with the results of the least-squares stand...

: +1 607 Summary To estimate flood quantiles and other statistics at ungauged sites, many organizations employ an iterative generalized least squares (GLS) regression procedure to estimate the parameters of a model of the statistic of interest as a function of basin characteristics. The GLS regression procedure accounts for differences in available record lengths and spatial correlation in conc...

This paper considers an Type I Generalized Half Logistic Distribution. We discussed the scale (σ) and shape (θ) parameters estimation using the median ranks method (Benard‟s approximation). Rama Krishna(2008) 1 studied the Type I Generalized Half Logistic Distribution scale (σ) and shape (θ) parameters estimation using the Least Square Method in two step estimation method. Also we computed Aver...