Lately, the Birnbaum-Saunders distribution has gained a lot of attention, mainly due to its different density shapes and the non-monotonicity property of its failure rates. This work considered some estimation issues for the Birnbaum-Saunders distribution using adaptive progressive Type-Ⅱ hybrid censoring. Point and interval estimations were performed employing both conventional and Bayesian methodologies. In addition to estimating the model parameters, we obtained point and interval estimates for the reliability and hazard rate functions. We looked at the method of maximum likelihood as a classical approach, and its asymptotic traits were employed to obtain approximate confidence ranges. From a Bayesian point of perspective, we considered the squared error loss function to obtain the point estimates of the various parameters. The Bayes and highest posterior density credible intervals were additionally determined. For the complex form of the posterior distribution, Bayes estimates and credible intervals were computed by sampling from the posterior distribution through the Markov chain Monte Carlo procedure. For assessing the performance of all of these estimators, a Monte Carlo simulation was employed. Several statistical standards were applied to check the effectiveness of various estimates for multiple levels of censoring with small, moderate, and large sample sizes. Finally, two scenarios for applications were given in order to highlight the usefulness of the supplied approaches.
Citation: Ahmed Elshahhat, Refah Alotaibi, Mazen Nassar. Statistical inference of the Birnbaum-Saunders model using adaptive progressively hybrid censored data and its applications[J]. AIMS Mathematics, 2024, 9(5): 11092-11121. doi: 10.3934/math.2024544
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Lately, the Birnbaum-Saunders distribution has gained a lot of attention, mainly due to its different density shapes and the non-monotonicity property of its failure rates. This work considered some estimation issues for the Birnbaum-Saunders distribution using adaptive progressive Type-Ⅱ hybrid censoring. Point and interval estimations were performed employing both conventional and Bayesian methodologies. In addition to estimating the model parameters, we obtained point and interval estimates for the reliability and hazard rate functions. We looked at the method of maximum likelihood as a classical approach, and its asymptotic traits were employed to obtain approximate confidence ranges. From a Bayesian point of perspective, we considered the squared error loss function to obtain the point estimates of the various parameters. The Bayes and highest posterior density credible intervals were additionally determined. For the complex form of the posterior distribution, Bayes estimates and credible intervals were computed by sampling from the posterior distribution through the Markov chain Monte Carlo procedure. For assessing the performance of all of these estimators, a Monte Carlo simulation was employed. Several statistical standards were applied to check the effectiveness of various estimates for multiple levels of censoring with small, moderate, and large sample sizes. Finally, two scenarios for applications were given in order to highlight the usefulness of the supplied approaches.
Fractional differential equations rise in many fields, such as biology, physics and engineering. There are many results about the existence of solutions and control problems (see [1,2,3,4,5,6]).
It is well known that the nonexistence of nonconstant periodic solutions of fractional differential equations was shown in [7,8,11] and the existence of asymptotically periodic solutions was derived in [8,9,10,11]. Thus it gives rise to study the periodic solutions of fractional differential equations with periodic impulses.
Recently, Fečkan and Wang [12] studied the existence of periodic solutions of fractional ordinary differential equations with impulses periodic condition and obtained many existence and asymptotic stability results for the Caputo's fractional derivative with fixed and varying lower limits. In this paper, we study the Caputo's fractional evolution equations with varying lower limits and we prove the existence of periodic mild solutions to this problem with the case of general periodic impulses as well as small equidistant and shifted impulses. We also study the Caputo's fractional evolution equations with fixed lower limits and small nonlinearities and derive the existence of its periodic mild solutions. The current results extend some results in [12].
Set ξq(θ)=1qθ−1−1qϖq(θ−1q)≥0, ϖq(θ)=1π∑∞n=1(−1)n−1θ−nq−1Γ(nq+1)n!sin(nπq), θ∈(0,∞). Note that ξq(θ) is a probability density function defined on (0,∞), namely ξq(θ)≥0, θ∈(0,∞) and ∫∞0ξq(θ)dθ=1.
Define T:X→X and S:X→X given by
T(t)=∫∞0ξq(θ)S(tqθ)dθ, S(t)=q∫∞0θξq(θ)S(tqθ)dθ. |
Lemma 2.1. ([13,Lemmas 3.2,3.3]) The operators T(t) and S(t),t≥0 have following properties:
(1) Suppose that supt≥0‖S(t)‖≤M. For any fixed t≥0, T(⋅) and S(⋅) are linear and bounded operators, i.e., for any u∈X,
‖T(t)u‖≤M‖u‖ and ‖S(t)u‖≤MΓ(q)‖u‖. |
(2) {T(t),t≥0} and {S(t),t≥0} are strongly continuous.
(3) {T(t),t>0} and {S(t),t>0} are compact, if {S(t),t>0} is compact.
Let N0={0,1,⋯,∞}. We consider the following impulsive fractional equations
{cDqtk,tu(t)=Au(t)+f(t,u(t)), q∈(0,1), t∈(tk,tk+1), k∈N0,u(t+k)=u(t−k)+Δk(u(t−k)), k∈N,u(0)=u0, | (2.1) |
where cDqtk,t denotes the Caputo's fractional time derivative of order q with the lower limit at tk, A:D(A)⊆X→X is the generator of a C0-semigroup {S(t),t≥0} on a Banach space X, f:R×X→X satisfies some assumptions. We suppose the following conditions:
(Ⅰ) f is continuous and T-periodic in t.
(Ⅱ) There exist constants a>0, bk>0 such that
{‖f(t,u)−f(t,v)‖≤a‖u−v‖,∀ t∈R, u,v∈X,‖u−v+Δk(u)−Δk(v)‖≤bk‖u−v‖,∀ k∈N, u,v∈X. |
(Ⅲ) There exists N∈N such that T=tN+1,tk+N+1=tk+T and Δk+N+1=Δk for any k∈N.
It is well known [3] that (2.1) has a unique solution on R+ if the conditions (Ⅰ) and (Ⅱ) hold. So we can consider the Poincaré mapping
P(u0)=u(T−)+ΔN+1(u(T−)). |
By [14,Lemma 2.2] we know that the fixed points of P determine T-periodic mild solutions of (2.1).
Theorem 2.2. Assume that (I)-(III) hold. Let Ξ:=∏Nk=0MbkEq(Ma(tk+1−tk)q), where Eq is the Mittag-Leffler function (see [3, p.40]), then there holds
‖P(u)−P(v)‖≤Ξ‖u−v‖, ∀u,v∈X. | (2.2) |
If Ξ<1, then (2.1) has a unique T-periodic mild solution, which is also asymptotically stable.
Proof. By the mild solution of (2.1), we mean that u∈C((tk,tk+1),X) satisfying
u(t)=T(t−tk)u(t+k)+∫ttkS(t−s)f(s,u(s))ds. | (2.3) |
Let u and v be two solutions of (2.3) with u(0)=u0 and v(0)=v0, respectively. By (2.3) and (II), we can derive
‖u(t)−v(t)‖≤‖T(t−tk)(u(t+k)−v(t+k))‖+∫ttk(t−s)q−1‖S(t−s)(f(s,u(s)−f(s,v(s))‖ds≤M‖u(t+k)−v(t+k)‖+MaΓ(q)∫ttk(t−s)q−1‖f(s,u(s)−f(s,v(s))‖ds. | (2.4) |
Applying Gronwall inequality [15, Corollary 2] to (2.4), we derive
‖u(t)−v(t)‖≤M‖u(t+k)−v(t+k)‖Eq(Ma(t−tk)q), t∈(tk,tk+1), | (2.5) |
which implies
‖u(t−k+1)−v(t−k+1)‖≤MEq(Ma(tk+1−tk)q)‖u(t+k)−v(t+k)‖,k=0,1,⋯,N. | (2.6) |
By (2.6) and (Ⅱ), we derive
‖P(u0)−P(v0)‖=‖u(t−N+1)−v(t−N+1)+ΔN+1(u(t−N+1))−ΔN+1(v(t−N+1))‖≤bN+1‖u(t−N+1)−v(t−N+1)‖≤(N∏k=0MbkEq(Ma(tk+1−tk)q))‖u0−v0‖=Ξ‖u0−v0‖, | (2.7) |
which implies that (2.2) is satisfied. Thus P:X→X is a contraction if Ξ<1. Using Banach fixed point theorem, we obtain that P has a unique fixed point u0 if Ξ<1. In addition, since
‖Pn(u0)−Pn(v0)‖≤Ξn‖u0−v0‖, ∀v0∈X, |
we get that the corresponding periodic mild solution is asymptotically stable.
We study
{cDqkhu(t)=Au(t)+f(u(t)), q∈(0,1), t∈(kh,(k+1)h), k∈N0,u(kh+)=u(kh−)+ˉΔhq, k∈N,u(0)=u0, | (2.8) |
where h>0, ˉΔ∈X, and f:X→X is Lipschitz. We know [3] that under above assumptions, (2.8) has a unique mild solution u(u0,t) on R+, which is continuous in u0∈X, t∈R+∖{kh|k∈N} and left continuous in t ant impulsive points {kh|k∈N}. We can consider the Poincaré mapping
Ph(u0)=u(u0,h+). |
Theorem 2.3. Let w(t) be a solution of following equations
{w′(t)=ˉΔ+1Γ(q+1)f(w(t)), t∈[0,T],w(0)=u0. | (2.9) |
Then there exists a mild solution u(u0,t) of (2.8) on [0,T], satisfying
u(u0,t)=w(tqq−1)+O(hq). |
If w(t) is a stable periodic solution, then there exists a stable invariant curve of Poincaré mapping of (2.8) in a neighborhood of w(t). Note that h is sufficiently small.
Proof. For any t∈(kh,(k+1)h),k∈N0, the mild solution of (2.8) is equivalent to
u(u0,t)=T(t−kh)u(kh+)+∫tkh(t−s)q−1S(t−s)f(u(u0,s))ds=T(t−kh)u(kh+)+∫t−kh0(t−kh−s)q−1S(t−kh−s)f(u(u(kh+),s))ds. | (2.10) |
So
u((k+1)h+)=T(h)u(kh+)+ˉΔhq+∫h0(h−s)q−1S(h−s)f(u(u(kh+),s))ds=Ph(u(kh+)), | (2.11) |
and
Ph(u0)=u(u0,h+)=T(h)u0+ˉΔhq+∫h0(h−s)q−1S(h−s)f(u(u0,s))ds. | (2.12) |
Inserting
u(u0,t)=T(t)u0+hqv(u0,t), t∈[0,h], |
into (2.10), we obtain
v(u0,t)=1hq∫t0(t−s)q−1S(t−s)f(T(t)u0+hqv(u0,t))ds=1hq∫t0(t−s)q−1S(t−s)f(T(t)u0)ds+1hq∫t0(t−s)q−1S(t−s)(f(T(t)u0+hqv(u0,t))−f(T(t)u0))ds=1hq∫t0(t−s)q−1S(t−s)f(T(t)u0)ds+O(hq), |
since
‖∫t0(t−s)q−1S(t−s)(f(T(t)u0+hqv(u0,t))−f(T(t)u0))ds‖≤∫t0(t−s)q−1‖S(t−s)‖‖f(T(t)u0+hqv(u0,t))−f(T(t)u0)‖ds≤MLlochqtqΓ(q+1)maxt∈[0,h]{‖v(u0,t)‖}≤h2qMLlocΓ(q+1)maxt∈[0,h]{‖v(u0,t)‖}, |
where Lloc is a local Lipschitz constant of f. Thus we get
u(u0,t)=T(t)u0+∫t0(t−s)q−1S(t−s)f(T(t)u0)ds+O(h2q), t∈[0,h], | (2.13) |
and (2.12) gives
Ph(u0)=T(h)u0+ˉΔhq+∫h0(h−s)q−1S(h−s)f(T(h)u0)ds+O(h2q). |
So (2.11) becomes
u((k+1)h+)=T(h)u(kh+)+ˉΔhq+∫(k+1)hkh((k+1)h−s)q−1S((k+1)h−s)f(T(h)u(kh+))ds+O(h2q). | (2.14) |
Since T(t) and S(t) are strongly continuous,
limt→0T(t)=I and limt→0S(t)=1Γ(q)I. | (2.15) |
Thus (2.14) leads to its approximation
w((k+1)h+)=w(kh+)+ˉΔhq+hqΓ(q+1)f(w(kh+)), |
which is the Euler numerical approximation of
w′(t)=ˉΔ+1Γ(q+1)f(w(t)). |
Note that (2.10) implies
‖u(u0,t)−T(t−kh)u(kh+)‖=O(hq), ∀t∈[kh,(k+1)h]. | (2.16) |
Applying (2.15), (2.16) and the already known results about Euler approximation method in [16], we obtain the result of Theorem 2.3.
Corollary 2.4. We can extend (2.8) for periodic impulses of following form
{cDqkhu(t)=Au(t)+f(u(t)), t∈(kh,(k+1)h), k∈N0,u(kh+)=u(kh−)+ˉΔkhq, k∈N,u(0)=u0, | (2.17) |
where ˉΔk∈X satisfy ˉΔk+N+1=ˉΔk for any k∈N. Then Theorem 2.3 can directly extend to (2.17) with
{w′(t)=∑N+1k=1ˉΔkN+1+1Γ(q+1)f(w(t)), t∈[0,T], k∈N,w(0)=u0 | (2.18) |
instead of (2.9).
Proof. We can consider the Poincaré mapping
Ph(u0)=u(u0,(N+1)h+), |
with a form of
Ph=PN+1,h∘⋯∘P1,h |
where
Pk,h(u0)=ˉΔkhq+u(u0,h). |
By (2.13), we can derive
Pk,h(u0)=ˉΔkhq+u(u0,h)=T(h)u0+ˉΔkhq+∫h0(h−s)q−1S(h−s)f(T(h)u0)ds+O(h2q). |
Then we get
Ph(u0)=T(h)u0+N+1∑k=1ˉΔkhq+(N+1)∫h0(h−s)q−1S(h−s)f(T(h)u0)ds+O(h2q). |
By (2.15), we obtain that Ph(u0) leads to its approximation
u0+N+1∑k=1ˉΔkhq+(N+1)hqΓ(q+1)f(u0). | (2.19) |
Moreover, equations
w′(t)=∑N+1k=1ˉΔkN+1+1Γ(q+1)f(w(t)) |
has the Euler numerical approximation
u0+hq(∑N+1k=1ˉΔkN+1+1Γ(q+1)f(u0)) |
with the step size hq, and its approximation of N+1 iteration is (2.19), the approximation of Ph. Thus Theorem 2.3 can directly extend to (2.17) with (2.18).
Now we consider following equations with small nonlinearities of the form
{cDq0u(t)=Au(t)+ϵf(t,u(t)), q∈(0,1), t∈(tk,tk+1), k∈N0,u(t+k)=u(t−k)+ϵΔk(u(t−k)), k∈N,u(0)=u0, | (3.1) |
where ϵ is a small parameter, cDq0 is the generalized Caputo fractional derivative with lower limit at 0. Then (3.1) has a unique mild solution u(ϵ,t). Give the Poincaré mapping
P(ϵ,u0)=u(ϵ,T−)+ϵΔN+1(u(ϵ,T−)). |
Assume that
(H1) f and Δk are C2-smooth.
Then P(ϵ,u0) is also C2-smooth. In addition, we have
u(ϵ,t)=T(t)u0+ϵω(t)+O(ϵ2), |
where ω(t) satisfies
{cDq0ω(t)=Aω(t)+f(t,T(t)u0), t∈(tk,tk+1), k=0,1,⋯,N,ω(t+k)=ω(t−k)+Δk(T(tk)u0), k=1,2,⋯,N+1,ω(0)=0, |
and
ω(T−)=N∑k=1T(T−tk)Δk(T(tk)u0)+∫T0(T−s)q−1S(T−s)f(s,T(s)u0)ds. |
Thus we derive
{P(ϵ,u0)=u0+M(ϵ,u0)+O(ϵ2)M(ϵ,u0)=(T(T)−I)u0+ϵω(T−)+ϵΔN+1(T(T)u0). | (3.2) |
Theorem 3.1. Suppose that (I), (III) and (H1) hold.
1). If (T(T)−I) has a continuous inverse, i.e. (T(T)−I)−1 exists and continuous, then (3.1) has a unique T-periodic mild solution located near 0 for any ϵ≠0 small.
2). If (T(T)−I) is not invertible, we suppose that ker(T(T)−I)=[u1,⋯,uk] and X=im(T(T)−I)⊕X1 for a closed subspace X1 with dimX1=k. If there is v0∈[u1,⋯,uk] such that B(0,v0)=0 (see (3.7)) and the k×k-matrix DB(0,v0) is invertible, then (3.1) has a unique T-periodic mild solution located near T(t)v0 for any ϵ≠0 small.
3). If rσ(Du0M(ϵ,u0))<0, then the T-periodic mild solution is asymptotically stable. If rσ(Du0M(ϵ,u0))∩(0,+∞)≠∅, then the T-periodic mild solution is unstable.
Proof. The fixed point u0 of P(ϵ,x0) determines the T-periodic mild solution of (3.1), which is equivalent to
M(ϵ,u0)+O(ϵ2)=0. | (3.3) |
Note that M(0,u0)=(T(T)−I)u0. If (T(T)−I) has a continuous inverse, then (3.3) can be solved by the implicit function theorem to get its solution u0(ϵ) with u0(0)=0.
If (T(T)−I) is not invertible, then we take a decomposition u0=v+w, v∈[u1,⋯,uk], take bounded projections Q1:X→im(T(T)−I), Q2:X→X1, I=Q1+Q2 and decompose (3.3) to
Q1M(ϵ,v+w)+Q1O(ϵ2)=0, | (3.4) |
and
Q2M(ϵ,v+w)+Q2O(ϵ2)=0. | (3.5) |
Now Q1M(0,v+w)=(T(T)−I)w, so we can solve by implicit function theorem from (3.4), w=w(ϵ,v) with w(0,v)=0. Inserting this solution into (3.5), we get
B(ϵ,v)=1ϵ(Q2M(ϵ,v+w)+Q2O(ϵ2))=Q2ω(T−)+Q2ΔN+1(T(t)v+w(ϵ,v))+O(ϵ). | (3.6) |
So
B(0,v)=N∑k=1Q2T(T−tk)Δk(T(tk)v)+Q2∫T0(T−s)q−1S(T−s)f(s,T(s)v)ds. | (3.7) |
Consequently we get, if there is v0∈[u1,⋯,uk] such that B(0,v0)=0 and the k×k-matrix DB(0,v0) is invertible, then (3.1) has a unique T-periodic mild solution located near T(t)v0 for any ϵ≠0 small.
In addition, Du0P(ϵ,u0(ϵ))=I+Du0M(ϵ,u0)+O(ϵ2). Thus we can directly derive the stability and instability results by the arguments in [17].
In this section, we give an example to demonstrate Theorem 2.2.
Example 4.1. Consider the following impulsive fractional partial differential equation:
{ cD12tk,tu(t,y)=∂2∂y2u(t,y)+sinu(t,y)+cos2πt, t∈(tk,tk+1), k∈N0, y∈[0,π], Δk(u(t−k,y))=u(t+k,y)−u(t−k,y)=ξu(t−k,y), k∈N, y∈[0,π], u(t,0)=u(t,π)=0, t∈(tk,tk+1), k∈N0, u(0,y)=u0(y), y∈[0,π], | (4.1) |
for ξ∈R, tk=k3. Let X=L2[0,π]. Define the operator A:D(A)⊆X→X by Au=d2udy2 with the domain
D(A)={u∈X∣dudy,d2udy2∈X, u(0)=u(π)=0}. |
Then A is the infinitesimal generator of a C0-semigroup {S(t),t≥0} on X and ‖S(t)‖≤M=1 for any t≥0. Denote u(⋅,y)=u(⋅)(y) and define f:[0,∞)×X→X by
f(t,u)(y)=sinu(y)+cos2πt. |
Set T=t3=1, tk+3=tk+1, Δk+3=Δk, a=1, bk=|1+ξ|. Obviously, conditions (I)-(III) hold. Note that
Ξ=2∏k=0|1+ξ|E12(1√3)=|1+ξ|3(E12(1√3))3. |
Letting Ξ<1, we get −E12(1√3)−1<ξ<E12(1√3)−1. Now all assumptions of Theorem 2.2 hold. Hence, if −E12(1√3)−1<ξ<E12(1√3)−1, (4.1) has a unique 1-periodic mild solution, which is also asymptotically stable.
This paper deals with the existence and stability of periodic solutions of impulsive fractional evolution equations with the case of varying lower limits and fixed lower limits. Although, Fečkan and Wang [12] prove the existence of periodic solutions of impulsive fractional ordinary differential equations in finite dimensional Euclidean space, we extend some results to impulsive fractional evolution equation on Banach space by involving operator semigroup theory. Our results can be applied to some impulsive fractional partial differential equations and the proposed approach can be extended to study the similar problem for periodic impulsive fractional evolution inclusions.
The authors are grateful to the referees for their careful reading of the manuscript and valuable comments. This research is supported by the National Natural Science Foundation of China (11661016), Training Object of High Level and Innovative Talents of Guizhou Province ((2016)4006), Major Research Project of Innovative Group in Guizhou Education Department ([2018]012), Foundation of Postgraduate of Guizhou Province (YJSCXJH[2019]031), the Slovak Research and Development Agency under the contract No. APVV-18-0308, and the Slovak Grant Agency VEGA No. 2/0153/16 and No. 1/0078/17.
All authors declare no conflicts of interest in this paper.
[1] |
Z. W. Birnbaum, S. C. Saunders, A probabilistic interpretation of Miner's rule, SIAM J. Appl. Math., 16 (1968), 637–652. https://doi.org/10.1137/0116052 doi: 10.1137/0116052
![]() |
[2] |
H. K. T. Ng, D. Kundu, N. Balakrishnan, Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on Type-Ⅱ censored samples, Comput. Stat. Data An., 50 (2006), 3222–3242. https://doi.org/10.1016/j.csda.2005.06.002 doi: 10.1016/j.csda.2005.06.002
![]() |
[3] |
A. J. Lemonte, F. Cribari-Neto, K. L. P. Vasconcellos, Improved statistical inference for the two-parameter Birnbaum-Saunders distribution, Comput. Stat. Data An., 51 (2007), 4656–4681. https://doi.org/10.1016/j.csda.2006.08.016 doi: 10.1016/j.csda.2006.08.016
![]() |
[4] |
B. Pradhan, D. Kundu, Inference and optimal censoring schemes for progressively censored Birnbaum-Saunders distribution, J. Stat. Plan. Infer., 143 (2013), 1098–1108. https://doi.org/10.1016/j.jspi.2012.11.007 doi: 10.1016/j.jspi.2012.11.007
![]() |
[5] |
X. Y. Peng, Y. Xiao, Z. Z. Yan, Reliability analysis of Birnbaum-Saunders model based on progressive type-Ⅱ censoring, J. Stat. Comput. Sim., 89 (2019), 461–477. https://doi.org/10.1080/00949655.2018.1555251 doi: 10.1080/00949655.2018.1555251
![]() |
[6] |
N. Balakrishnan, D. Kundu, Birnbaum-Saunders distribution: A review of models, analysis, and applications, Appl. Stoch. Model. Bus., 35 (2019), 4–49. https://doi.org/10.1002/asmb.2348 doi: 10.1002/asmb.2348
![]() |
[7] |
D. Kundu, N. Kannan, N. Balakrishnan, On the hazard function of Birnbaum-Saunders distribution and associated inference, Comput. Stat. Data An., 52 (2008), 2692–2702. https://doi.org/10.1016/j.csda.2007.09.021 doi: 10.1016/j.csda.2007.09.021
![]() |
[8] | N. Balakrishnan, R. Aggarwala, Progressive censoring: theory, methods, and application, Boston: Birkhäuser, 2000. https://doi.org/10.1007/978-1-4612-1334-5 |
[9] |
D. Kundu, A. Joarder, Analysis of Type-Ⅱ progressively hybrid censored data, Comput. Stat. Data An., 50 (2006), 2509–2528. https://doi.org/10.1016/j.csda.2005.05.002 doi: 10.1016/j.csda.2005.05.002
![]() |
[10] |
H. K. T. Ng, D. Kundu, P. S. Chan, Statistical analysis of exponential lifetimes under an adaptive Type‐Ⅱ progressive censoring scheme, Nav. Res. Log., 56 (2009), 687–698. https://doi.org/10.1002/nav.20371 doi: 10.1002/nav.20371
![]() |
[11] |
M. Nassar, O. E. Abo-Kasem, Estimation of the inverse Weibull parameters under adaptive type-Ⅱ progressive hybrid censoring scheme, J. Comput. Appl. Math., 315 (2017), 228–239. https://doi.org/10.1016/j.cam.2016.11.012 doi: 10.1016/j.cam.2016.11.012
![]() |
[12] |
R. Alotaibi, A. Elshahhat, H. Rezk, M. Nassar, Inferences for Alpha power exponential distribution using adaptive progressively type-Ⅱ hybrid censored data with applications, Symmetry, 14 (2022), 651. https://doi.org/10.3390/sym14040651 doi: 10.3390/sym14040651
![]() |
[13] |
H. H. Ahmad, M. M. Salah, M. S. Eliwa, Z. A. Alhussain, E. M. Almetwally, E. A. Ahmed, Bayesian and non-Bayesian inference under adaptive type-Ⅱ progressive censored sample with exponentiated power Lindley distribution, J. Appl. Stat., 49 (2022), 2981–3001. https://doi.org/10.1080/02664763.2021.1931819 doi: 10.1080/02664763.2021.1931819
![]() |
[14] |
S. Dutta, S. Dey, S. Kayal, Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-Ⅱ censored data, Comput. Stat., 2023 (2023), 1–47. https://doi.org/10.1007/s00180-023-01376-y doi: 10.1007/s00180-023-01376-y
![]() |
[15] |
A. Elshahhat, M. Nassar, Analysis of adaptive Type-Ⅱ progressively hybrid censoring with binomial removals, J. Stat. Comput. Sim., 93 (2023), 1077–1103. https://doi.org/10.1080/00949655.2022.2127149 doi: 10.1080/00949655.2022.2127149
![]() |
[16] |
J. A. Achcar, Inferences for the Birnbaum-Saunders fatigue life model using Bayesian methods, Comput. Stat. Data An., 15 (1993), 367–380. https://doi.org/10.1016/0167-9473(93)90170-X doi: 10.1016/0167-9473(93)90170-X
![]() |
[17] |
A. C. Xu, Y. C. Tang, Reference analysis for Birnbaum-Saunders distribution, Comput. Stat. Data An., 54 (2010), 185–192. https://doi.org/10.1016/j.csda.2009.08.004 doi: 10.1016/j.csda.2009.08.004
![]() |
[18] |
J. E. Contreras-Reyes, F. O. L. Quintero, R. Wiff, Bayesian modeling of individual growth variability using back-calculation: Application to pink cusk-eel (Genypterus blacodes) off Chile, Ecol. Model., 385 (2018), 145–153. https://doi.org/10.1016/j.ecolmodel.2018.07.002 doi: 10.1016/j.ecolmodel.2018.07.002
![]() |
[19] |
A. Henningsen, O. Toomet, maxLik: A package for maximum likelihood estimation in R, Comput. Stat., 26 (2011), 443–458. https://doi.org/10.1007/s00180-010-0217-1 doi: 10.1007/s00180-010-0217-1
![]() |
[20] | M. Plummer, N. Best, K. Cowles, K. Vines, Coda: Convergence diagnosis and output analysis for MCMC, R. News, 6 (2006), 7–11. |
[21] |
D. M. Hawkins, Diagnostics for conformity of paired quantitative measurements, Stat. Med., 21 (2002), 1913–1935. https://doi.org/10.1002/sim.1013 doi: 10.1002/sim.1013
![]() |
[22] |
M. Nassar, R. Alotaibi, A. Elshahhat, Complexity analysis of E-Bayesian estimation under type-Ⅱ censoring with application to organ transplant blood data, Symmetry, 14 (2022), 1308. https://doi.org/10.3390/sym14071308 doi: 10.3390/sym14071308
![]() |
[23] |
H. K. T. Ng, D. Kundu, N. Balakrishnan, Modified moment estimation for the two-parameter Birnbaum-Saunders distribution, Comput. Stat. Data An., 43 (2003), 283–298. https://doi.org/10.1016/S0167-9473(02)00254-2 doi: 10.1016/S0167-9473(02)00254-2
![]() |
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