The paper is interesting the authors present the use a nonlinear regression model to analyze the trends of climate data. It is no completely new but there are few Works that use this techniques. In my opinion the paper is too center in the statistical analysis and more explanation about the possible reasons or justifications of these breakpoints in the periods observed are necessary in a climat...

We estimate a linear and a piecewise linear Phillips curve model with regional labor market data for West German and Neue Länder. Employing regional observations allows us to country difference the data. This eliminates, under the assumption of homogeneous Länder, supply shocks and changes in the formation of expectations as possible identification failures. With seemingly unrelated regressions...

In bio-statistical applications non-parametric and semi-parametric methods have been preferred over parametric ones for assessing the prognostic role of clinical/biological variables: in fact parametric distributional models for times to event are usually restrictive. In particular Proportional Hazard Models are widely adopted due to their simplicity and flexibility. In PH models the effect of ...

We study the fixed design segmented regression problem: Given noisy samples from a piecewise linear function f , we want to recover f up to a desired accuracy in mean-squared error. Previous rigorous approaches for this problem rely on dynamic programming (DP) and, while sample efficient, have running time quadratic in the sample size. As our main contribution, we provide new sample near-linear...

This study was carried out to determine the most suitable model for egg weights of Cubic, Gompertz, Logistics, Gamma, Richard, Piecewise Quadratic, Orscov, and Sigmoaidal models, which are widely used in estimation. Lohmann-Brown Classic laying hens raised Ondokuz Mayıs University Research Application farm were as animal material. In modeling 351 layer 3-storey cages, individual weight data mea...

Time-dependent antibacterial activity of 2-furylethylenes using quantum chemical, topographic, and topological indices is described as inhibition of respiration in E. coli. A QSAR strategy based on the combination of the linear piecewise regression and the discriminant analysis is used to predict the biological activity values of strong and moderates antibacterial furylethylenes. The breakpoint...

Accurate estimation of software project effort plays an important role in software project management and is one of the most difficult empirical modeling tasks in software engineering. This paper introduces a piecewise linear regression model with a change point [9, 10] which includes the well-known COCOMO model as a special case. Our model is used to estimate software project effort using a NA...

Statistical inference is reviewed for survival data applications with hazard models having one parameter per distinct failure time and using Jeffreys' (1961) vague priors. Distinction between a discrete hazard and a piecewise exponential model is made. Bayes estimators of survival probabilities ace derived. For a single sample and a discrete hazard, the Bayes estimator is shown to be larger tha...

PREMISE OF THE STUDY Changes in the pollinator communities of marginal plant populations can affect their pollination quantity or quality. Geographic variation in pollination success can alter the reproductive advantage that female plants require to persist within gynodioecious populations. Particularly valuable is determining the pollination success at the prezygotic stage in self-compatible g...